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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
to collaborative software development and version control systems (Git) # Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS) # Motivation to work
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of dissolved organic substances, microbiological rate measurements, incubation experiments, controlled laboratory cultures, and field studies in various marine regions. The Research Unit Biological Oceanography
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states Investigation of non-equilibrium dynamics relating to quantum simulation or pump-probe experiments Machine learning for feedback control of monitored quantum systems Participation in international
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the German Baltic Sea coast Analysis of changes in locations and coverage during the last decades as well as the controlling factors Hydrodynamic model-based assessments of the drivers of changes in seagrass
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subject. Broad background in solids state physics and ultrafast optics. Excellent communication skills, and in particular good command of the English language. Hands-on experience with ultrafast and
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experience with genomic data. You are confident use of HPC environments, version control and FAIR principles. You have excellent English communication skills and a strong publication record. You fit to us: if
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groups. An excellent communication skill for scientific discussion is indispensable, and proficiency in English is mandatory. Command of German is an advantage, but not a requirement. Full applications
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling. Central to its
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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease