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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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the fields of computational materials science, theoretical and computational chemistry/physics and physics of low-dimensional materials. It maintains strong ties with the local experimental groups of TUD and
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group of 10 PhD students will join our structured training program and participate in regular scientific exchange e.g. in retreats, colloquia and in tailored workshops. Requirements Candidates should hold
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explores biological systems across scales—from molecules to whole organisms and ecosystems. Our program transcends traditional life science boundaries, combining pioneering methodologies and perspectives
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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Description The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant
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training program with close mentoring access to advanced research infrastructure and shared core facilities a vibrant and collaborative scientific community in Dresden and internationally The successful
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and