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, or C++ Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling
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Power systems and/or power electronics o Machine learning o Renewable energy systems o Advanced statistics Fluent oral and written communication skills in English All candidates and projects will
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experience with Nextflow or Snakemake Expertise in machine learning or statistical modeling for biological data Knowledge of enhancer-promoter interactions and 3D genome organization Personal skills Ability
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of the Postdoctoral fellow will be to Develop and apply machine learning techniques and statistical analyses, including Cox Proportional Hazard models and polygenic hazard scoring, to fit and validate prediction model