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that are fundamental to BEAM (chemistry, physics, biochemistry, mathematics) or related fields. How to apply: More information on the application process and the requirements can be found on our website https
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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Master’s degree (or equivalent) in Biology, Chemistry, or a related field. A strong interest in evolutionary biology, behavioral ecology, and chemical ecology. Excellent communication skills in English, as
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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(0)511 762 3623 E-Mail: peth at ifbk.uni-hannover.de Web: https://www.iesw.uni-hannover.de/en/research/main-research-areas/soil-science Legal notice: The information on this website is provided
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(0)511 762 3623 E-Mail: peth at ifbk.uni-hannover.de Web: https://www.iesw.uni-hannover.de/en/research/main-research-areas/soil-science Legal notice: The information on this website is provided