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aim is to develop new approaches for the sustainable production of sufficient quantities of foods whose biologically active effector molecule profiles are geared towards health and nutritional needs
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, or green technologies We expect Master’s degree in agricultural economics, environmental/resource economics, industrial engineering, business informatics, or a related field Demonstrated interest in agent
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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of health, prevention and sports offers Contact & Application For further information please contact Maike Janssen via e-mail or phone 06221-56-39562. Interested? Applications will be accepted until
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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on December 24 and 31 company health management and sports activities through egym wellpass interdisciplinary and international environment We need your expertise for: independent project work in the newly
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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No Joint degree / double degree programme No Description/content The PhD programme in Computer Science (PCS) at the University of Göttingen is a high-quality PhD education programme offered by
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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data