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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine
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the actual salary depending on academic experience, tax classification etc. Travel support for attending conferences, workshops, etc. will be available. Applications should be sent as a single PDF file via
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University of Munich (TUM) welcomes applications for a Postdoc Position in Representation Theory m/f/d, initially for two years, 100% position starting October 01, 2025 or later. The position is based within
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. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting researcher at the Stanford University School of Medicine. Job-ID: V000010072 Field of application
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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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interdisciplinary perspectives excellent communication skills in English (both written and oral) a willingness to engage with and learn the programming languages and software tools necessary for the modeling work. We
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance
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Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years