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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational
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27 Feb 2025 Job Information Organisation/Company Max Planck Institute for Dynamics and Self-Organization Research Field Physics Researcher Profile Recognised Researcher (R2) Country Germany
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: applicants should hold a PhD degree in quantitative science such like bioinformatics, physics, computer science or a comparable field proved outstanding skills in computer science, physics, mathematics, or a
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals Your Profile: Master`s degree and PhD in quantum physics
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
learning. It also offers the opportunity to work with data from the European XFEL facility at DESY. Project website Your profile Eligible candidates have strong skills in computational physics and
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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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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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candidates with experience in software design, Python and CUDA coding, molecular dynamics calculations, and model building. Knowledge in physical chemistry, Bayesian statistics, machine learning, computational