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industrial partner and support the overall scientific goals of the project. YOUR PROFILE PhD degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries
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and investigation of coated and printed efficient organic solar cells using a strongly interdisciplinary approach combining chemistry, materials science, physics, mathematics, and print technology
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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equivalent Interest in materials science Good written and spoken English Ability to work both independently and in a team Experience with X-ray/neutron techniques is an advantage The University seeks to raise
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a new perspective to explore temporalities of the future within the humanities and the social sciences. The emerging field of research is expanded to include the two dimensions of global
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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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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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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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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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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