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consideration of energy (im)balance, radiative transport, entropy budgets and material cycles (of water, carbon etc.) development of Earth resilience metrics based on these principles to quantify planetary
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and
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(such as MEA) to assess the impact of disease mutations on neuronal biology Collaborate with bioengineers, material scientists, and computational biologists to leverage AI-supported analytical pipelines
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, computer scientists and physicists to combine our extensive expertise in neuroscience, imaging and AI into viable solutions Publish your results in high-quality scientific articles National and international
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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populations. This project will explore the genetic and evolutionary mechanisms shaping adaptation through a combination of genomic, computational, laboratory, and field-based approaches. Research focus
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hochmotivierte Personen mit dem Wunsch, Forschung in der theoretischen Physik an der Schnittstelle von Quanteninformation, Physik der kondensierten Materie und Hochenergiephysik zu betreiben. Ein starker
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stakeholder materials; no academic research output required Manage and analyze financial risk data for technical solutions supporting the identification of ESG risks Support the project’s deliverables and