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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Recruitment Attract top-tier postdoctoral
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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Outstanding Postdoctoral Training Strategy
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, or machine learning applications in health. The successful applicant will establish and lead an independent research group that complements the institute’s mission to advance personalized approaches
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, Biological Anthropology, Artificial Intelligence, Neurophilosophy, Neuroaesthetics,etc.) ○ Brain disorders (Psychiatry, Neurology, Rehabilitation Medicine, etc.) ○ Brain Engineering(Brain-machine interface
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to perform cutting edge research. - The successful candidates will be expected to establish and maintain vigorous research projects. ○ Applicants are expected to teach all the courses in English. ○ Applicants
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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international networks and EU-funded projects. Based in Kaunas, LSMU offers a collaborative, inclusive research environment and a high quality of life in a culturally rich, family-friendly city. Learn more: https
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in cancer treatment, i.e. protein/antibody engineering, adoptive T cell therapy, CAR T cells, etc. Humanitas Research center is equipped with newly developed laboratories and a wide range of state
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to acquire research funding. The candidate must also have excellent experience in technology transfer activities, including patenting, licensing, establishment of start-ups, development of high TRL products
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graduate students (selected on a competitive basis and funded by bursaries provided by SISSA). SISSA welcomes new hires with generous and ideal working conditions, such as a start-up grant and reduced