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Desired: Experience with deep learning frameworks (e.g. TensorFlow) Snakemake or Nextflow skills Experience with analysing large NGS data sets High Performance Computing skills (e.g. with SLURM) Knowledge
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, vector stores, graph databases, knowledge graphs, huggingface interest in data science, clustering, topic models, classification, entity extraction and linking, high-performance compute cluster with high
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expected to develop and pursue your own scientific ideas and concepts. We provide structured supervision, active mentoring, and full support for high-quality scientific publishing. Our work is regularly
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cells of individuals at high risk of developing type 2 diabetes and its complications. Tasks Perform end-to-end data analysis, including quality control, data integration, and inference of regulatory
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confocal microscopy to investigate mitochondrial dynamics Performing comprehensive phenotypic and functional profiling of T cells, including: High-dimensional flow cytometry Metabolic profiling (Seahorse
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25 Feb 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2
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The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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the development of novel optical technologies addressing significant biological and medical challenges. The Mission: The successful candidate will play a key role in an ambitious research program focused
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results