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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
scientific publications Your profile #M.Sc. degree in geography, environmental science, sustainability, related disciplines or interdisciplinary master programs #experience in handling of geographic- and/or
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by
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research #desired: experience in rural contexts in Latin America (particularly Brazil) #willingness to conduct fieldwork in Brazil for several weeks #fluency in Portuguese or Spanish, English (oral and
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written and spoken English are required. Most importantly, you should strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Only applicants who seek to be among
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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost