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-specific inflammation” and aims to develop and apply advanced imaging tools to study immune cell dynamics in murine models of inflammation and cancer. More about our work: https://www.medizin.uni-muenster.de
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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into the development of novel, stable and efficient systems for electrochemical hydrogen storage in acetone/ isopropanol as an innovative solution for seasonal energy storage. The long-term goal is to realize
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Description With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed
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Description With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed
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field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way
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change affects system design and cost Your Profile: Master’s degree in the field of natural sciences, engineering, or a related field of study Huge interest in energy system transition and climate change
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Technische Universität München, Physik-Department T30f Position ID: TUM -Physik-Department T30f -PHD [#27986] Position Title: Position Type: Student programs Position Location: Garching, Bayern
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination