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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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Student or Postdoc (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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of CRC (Collaborative Research Center) projects collaborate and communicate effectively in interdisciplinary teams, including oncologists, molecular biologists, and computational scientists Your profile
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and
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, and light-matter interactions. Strong theoretical knowledge/programming skills (e.g.: Keldysh path integral, quantum transport theories, molecular dynamics simulation, exact diagonalization and (time
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enriched sgRNAs via UMI sequencing, and performing downstream bioinformatic analysis such as gene-set enrichment analysis of hits, identification of somatic copy number alterations, elucidation of tissue
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that regulate the local blood supply and the oxygen consumption of the tissues. The cellular and molecular mechanisms by which red blood cells sense their environment, maintain cellular homeostasis and interact
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or infrastructure. This is what makes our daily work so meaningful and exciting. In collaboration with the European Molecular Biology Laboratory (EMBL) in Heidelberg, the Junior Research Group "Genome Instability in
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, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. Through this research, we build the foundations for medical innovation. Together