Job U
Download Job U full books in PDF, epub, and Kindle. Read online free Job U ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Nicholas Wyman |
| Publisher | : Crown Currency |
| Total Pages | : 290 |
| Release | : 2015-01-13 |
| Genre | : Business & Economics |
| ISBN | : 0804140790 |
Get ready to relearn everything you thought you knew about what a successful career path can look like. Today, unemployment hovers at a near-record high, yet 3.5 million American jobs remain unfilled. Why? Because companies simply cannot find people with the skills they actually need. The good news is that this skills gap represents unprecedented opportunities for every person seeking a successful and exciting career. But these opportunities can’t be found inside the walls of the traditional classroom. Instead, they lie in the myriad of educational options that provide the technical, vocational, and soft skills on demand in today’s workplace, such as: -Professional certifications: Start your career faster in fields like bioscience aviation, culinary arts, and medical technology. -Associates degrees: Increase earning potential through inexpensive 2-year programs in subjects like civil engineering, environmental science, education, and nursing. -Apprenticeships: Earn while you learn under the direct supervision of a skilled expert. Far beyond the artisan trades, today’s apprenticeships can be found at companies like Volkswagen and Siemens. -Occupational learning: Refresh or reboot your skill sets through on-the-job training or online education. In Job U, you’ll learn about these paths to rewarding occupations; where to find them and how to parlay them into the best paying job in any field. And along the way, you’ll meet individuals of all ages who have attained their “dream jobs” through a non-traditional education: from an emergency air paramedic, to a lead mechanic of a racecar team, to an engineer of complex gas turbine generators, to a bestselling cookbook author. Whether you are recent high school or college graduate, or well along in your career journey, Job U will help you find your way to a more secure and prosperous future.
| Author | : Sarah Jaffe |
| Publisher | : Bold Type Books |
| Total Pages | : 432 |
| Release | : 2021-01-26 |
| Genre | : Social Science |
| ISBN | : 1568589387 |
A deeply-reported examination of why "doing what you love" is a recipe for exploitation, creating a new tyranny of work in which we cheerily acquiesce to doing jobs that take over our lives. You're told that if you "do what you love, you'll never work a day in your life." Whether it's working for "exposure" and "experience," or enduring poor treatment in the name of "being part of the family," all employees are pushed to make sacrifices for the privilege of being able to do what we love. In Work Won't Love You Back, Sarah Jaffe, a preeminent voice on labor, inequality, and social movements, examines this "labor of love" myth—the idea that certain work is not really work, and therefore should be done out of passion instead of pay. Told through the lives and experiences of workers in various industries—from the unpaid intern, to the overworked teacher, to the nonprofit worker and even the professional athlete—Jaffe reveals how all of us have been tricked into buying into a new tyranny of work. As Jaffe argues, understanding the trap of the labor of love will empower us to work less and demand what our work is worth. And once freed from those binds, we can finally figure out what actually gives us joy, pleasure, and satisfaction.
| Author | : Karen Kelsky |
| Publisher | : Crown |
| Total Pages | : 450 |
| Release | : 2015-08-04 |
| Genre | : Education |
| ISBN | : 0553419420 |
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
| Author | : Zofia Wilimowska |
| Publisher | : Springer Nature |
| Total Pages | : 322 |
| Release | : 2019-09-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3030304434 |
This three-volume book highlights significant advances in the development of new information systems technologies and architectures. Further, it helps readers solve specific research and analytical problems and glean useful knowledge and business value from data. Each chapter provides an analysis of a specific technical problem, followed by a numerical analysis, simulation, and implementation of the solution to the real-world problem. Managing an organization, especially in today’s rapidly changing environment, is a highly complex process. Increased competition in the marketplace, especially as a result of the massive and successful entry of foreign businesses into domestic markets, changes in consumer behaviour, and broader access to new technologies and information, calls for organisational restructuring and the introduction and modification of management methods using the latest scientific advances. This situation has prompted various decision-making bodies to introduce computer modelling of organization management systems. This book presents the peer-reviewed proceedings of the 40th Anniversary International Conference “Information Systems Architecture and Technology” (ISAT), held on September 15–17, 2019, in Wrocław, Poland. The conference was organised by the Computer Science Department, Faculty of Computer Science and Management, Wroclaw University of Sciences and Technology, and University of Applied Sciences in Nysa, Poland. The papers have been grouped into three major sections: Part I—discusses topics including, but not limited to, artificial intelligence methods, knowledge discovery and data mining, big data, knowledge-based management, Internet of Things, cloud computing and high-performance computing, distributed computer systems, content delivery networks, and service-oriented computing. Part II—addresses various topics, such as system modelling for control, recognition and decision support, mathematical modelling in computer system design, service-oriented systems, and cloud computing, and complex process modelling. Part III—focuses on a number of themes, like knowledge-based management, modelling of financial and investment decisions, modelling of managerial decisions, production systems management, and maintenance, risk management, small business management, and theories and models of innovation.
| Author | : Nicholas Olenev |
| Publisher | : Springer Nature |
| Total Pages | : 201 |
| Release | : 2023-01-01 |
| Genre | : Mathematics |
| ISBN | : 3031229908 |
This book constitutes the refereed proceedings of the 13th International Conference on Advances in Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26–30, 2022. The 13 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: mathematical programming; global optimization; discrete and combinatorial optimization; optimization and data analysis; game theory and mathematical economics; and applications.
| Author | : United States. Congress. Joint Economic Committee |
| Publisher | : |
| Total Pages | : 190 |
| Release | : 1977 |
| Genre | : Labor supply |
| ISBN | : |
| Author | : Donghyun Kim |
| Publisher | : Springer |
| Total Pages | : 760 |
| Release | : 2018-12-06 |
| Genre | : Computers |
| ISBN | : 3030046516 |
The conference proceeding LNCS 11346 constitutes the refereed proceedings of the 12th International Conference on Combinatorial Optimization and Applications, COCOA 2018, held in Atlanta, GA, USA, in December 2018. The 50 full papers presented were carefully reviewed and selected from 106 submissions. The papers cover most aspects of t graph algorithms, routing and network design problems, scheduling algorithms, network optimization, combinatorial algorithms, approximation algorithms, paths and connectivity problems and much more.
| Author | : Dominik Kowald |
| Publisher | : Frontiers Media SA |
| Total Pages | : 133 |
| Release | : 2024-04-10 |
| Genre | : Science |
| ISBN | : 2832547664 |
Frontiers in Big Data is delighted to present the ‘Reviews in Recommender Systems’ series of article collections. Reviews in Recommender Systems will publish high-quality scholarly review papers on key topics in recommender systems and their applications in our everyday lives, in search engines, online retail, news, entertainment, travel, social networks, and much more. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. We anticipate the research presented will promote discussion in the Big Data community that will translate to best practice applications in further research, industry, real-world implementations, public health, and policy settings.
| Author | : |
| Publisher | : |
| Total Pages | : 1774 |
| Release | : 2003 |
| Genre | : Labor laws and legislation |
| ISBN | : |
| Author | : V. Tanaev |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 382 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 9401111901 |
Scheduling theory is an important branch of operations research. Problems studied within the framework of that theory have numerous applications in various fields of human activity. As an independent discipline scheduling theory appeared in the middle of the fifties, and has attracted the attention of researchers in many countries. In the Soviet Union, research in this direction has been mainly related to production scheduling, especially to the development of automated systems for production control. In 1975 Nauka ("Science") Publishers, Moscow, issued two books providing systematic descriptions of scheduling theory. The first one was the Russian translation of the classical book Theory of Scheduling by American mathematicians R. W. Conway, W. L. Maxwell and L. W. Miller. The other one was the book Introduction to Scheduling Theory by Soviet mathematicians V. S. Tanaev and V. V. Shkurba. These books well complement each other. Both. books well represent major results known by that time, contain an exhaustive bibliography on the subject. Thus, the books, as well as the Russian translation of Computer and Job-Shop Scheduling Theory edited by E. G. Coffman, Jr., (Nauka, 1984) have contributed to the development of scheduling theory in the Soviet Union. Many different models, the large number of new results make it difficult for the researchers who work in related fields to follow the fast development of scheduling theory and to master new methods and approaches quickly.
