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to know Schedule: May have to work on the weekend and/or after normal hours. Travel: May travel as required. Please note: This position is grant funded; future employment may be contingent upon future
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of Nutrition and Exercise Physiology. As the incumbent, you will hold a 12-month annual, full-time, fixed-term appointment as a Postdoctoral Research Associate. The position is located at the WSU Health Sciences
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criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline Unique applicable skills. Employment Assistance: For general
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or an equivalent doctoral degree obtained no more than 7 years before the start of employment. The period may be extended in justified cases such as maternity or parental leave, long-term illness, care for a close
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 9 days ago
PhD degree in biological sciences or a related discipline. At the time the employment contract is signed, the degree must have been awarded in the year of employment in the project (2026) or within
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, autocomplete them, and provide answers through a platform accessible to all researchers. By integrating Health, Biology, Artificial Intelligence, and Epidemiology, it targets three complementary use cases
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of Applications Begins: Applications will be accepted until finalists are identified, but preference will be given to complete applications received by October 1. Those who do not apply by this date may or may not
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disciplines preferred. Supervision Exercised Candidate will be expected to help mentor graduate and undergraduate students within the research group. There are no supervisory responsibilities with this position
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create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating