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Field
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-based systems face significant limitations that hinder scalability for future applications. To overcome these challenges, there is a pressing need to develop sustainable, high-performance alternatives
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planning, execution, and analysis of comprehensive experiments in the field of translational hematology/oncology Application and further development of state-of-the-art molecular biology methods, including
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). For further information: Dr. Jethro Hemmann | https://www.leibniz-hki.de/de/mnd-mitarbeiter-innendetails.html?member=1441 |+49 3641 532-1478 | career@leibniz-hki.de Application: Leibniz-HKI is proud to be
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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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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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, 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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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
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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