45 parallel-processing-bioinformatics "SciLifeLab " PhD positions at Leibniz in Germany
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at the Senckenberg Research Institute and Natural History Museum Frankfurt, starting as of 01. May 2026: PhD Position (m/f/d) in Invertebrate Genomics / Bioinformatics (65%) Location: Frankfurt Employment scope: Part
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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the process. The implementation of the Future Plan, funded with a total of 660 million euros from the Federal Government and the State of Berlin, will only succeed with strong interdisciplinary national and
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. Our research combines computational chemistry, cheminformatics, bioinformatic and AI to design new molecules and enzymes for unprecedented catalytic functions. In this project, you will: Develop
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Establish predictive pipeline for transfer learning and drug target discovery Apply models on pathogen and immunological datasets Provide bioinformatics support to other BNITM groups Contribute to teaching
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different odour blend treatments. Perform essential laboratory work (e.g. RNA extraction, library preparation) Carry out bioinformatic analyses to analyse multi-omics data gene-expression data with epigenetic
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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Biology, Bioinformatics or related field Strong interest in evolutionary processes, genomics, and behavior Prior experience with NGS data, R, another programming language is a plus Experience with
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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genetics, quantitative genetics or molecular biology. You are familiar with variant analysis workflows for QTL mapping, GWAS or linkage analysis. You have experience using the command line for bioinformatic