571 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at Nature Careers
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Faculty position in Molecular Health (Tenure-Track Assistant Professor / Associate Professor) at ...
for candidates interested in providing a molecular, mechanistic understanding of central processes in physiology, development and disease. Relevant research areas include molecular aspects
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Hospital Münster, and the University of Hamburg. Our goal is to advance the development of innovative, non-hormonal contraceptives that pharmacologically disable the function of sperm. – ideally with you on
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, production and function of sperm, fertilisation, as well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell
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scientific expertise – ideally with you on board! The positions are located at the interface of the research groups of Julia Wallmeier working on cilia in early development and Corinna Friedrich working
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on an undervalued receptor family: plexins. These receptors are involved in neuronal development, but also in shaping the cardiovascular, muskolskeletal systems and kidney. Further, plexins regulate immune responses
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scraping multiple data sources, most notably on the video game development industry and various sports (e.g., ice hockey, basketball, and soccer), or by collaborating with organizations. Recently, he has
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personal development of students. We support students in developing curiosity and critical thinking, thereby creating a solid foundation for the professional challenges of the next generation. With 27
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, evolutionary genomics, and the development of wearable devices and sensing technologies for cognitive disorders. Research areas of distinction also include connected autonomous systems and artificial
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development and promotes outstanding multidisciplinary care delivery and research activities. This is a remarkable opportunity to be part of a positive workplace where all employees, regardless of their role
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains