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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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are FU partners in the Berlin Joint Laboratory on Ultrafast X-ray Science (BerLUXS) and the German-Eastern European Laboratory for Energy Materials Research (GELEM) at the Helmholtz Zentrum Berlin. Job
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Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and selectivity mechanisms in
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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, biomechanics, single cell-analyses, advanced imaging, and animal models. Tasks: to actively pursue the proposed project with the aim of characterizing the molecular, biomechanical and functional mechanisms
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
. Bert de Groot) is inviting applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations
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-dimensional cell cultures are important to enable realistic cell environments for disease modeling and to analyze cell interactions. This position will address the question of how one can develop minimally
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to SARS-CoV-2 after birth. Cell 2023. Link Wimmers F, et al. The single-cell epigenomic and transcriptional landscape of immunity to influenza vaccination . Cell 2021. Link Wimmers F, Pulendran B
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evaluate the strengths and limitations of eDNA versus acoustic monitoring (and other approaches), identifying optimal applications for each context. Best‑practice development: Co‑design guidelines and
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq