897 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions in Germany
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- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
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more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral programme at the
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available in the further tabs (e.g. “Application requirements”). Programme Description The Zukunftskolleg Konnect Fellowships support early career researchers from Africa, Asia and Latin America, who do
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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sciences, computer science, a related course of study or a field of study suitable for your specialization Enthusiasm for technological challenges and industry-related research projects Interest in
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection
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05.03.2026, Academic staff The Munich Data Science Institute (MDSI) and the Collaborative Research Center LETSimmun (TRR 338) are jointly seeking a Data Steward (full-time, starting at the earliest possible date) to support research data management at Technical University of Munich...
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reports, and experiment protocols Working in a multicultural and interdisciplinary environment What you contribute Enrolled in a Master’s degree in Electrical Engineering, Physics, Photonics, Opto
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regular field assessments (bonituren) in an Agri-PV system and in a reference area, focusing on yield-relevant parameters over the entire vegetation period. You process the measurement series provided
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. The aim of the thesis is to fit a machine learning (ML)-based kinetic model of methanol synthesis to an extensive experimental data set. The necessary balance equations and a detailed physical model are