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, bioinformatics, and related disciplines. Applications open every autumn. About the IMPRS-BAC The IMPRS-BAC offers a dual education program with guidance from both experimental and computational groups and the
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 15 hours ago
. Requirements PhD in bioinformatics, computational biology, biostatistics, data science, systems biology, or a related quantitative field. Demonstrated research track record in Transcriptomics and Proteomics data
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carrion and ambrosia beetles. 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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) or of bioinformatics (programming skills, R or Python, statistics, analysis of complex datasets) Ability to work independently and to take initiative, as well as teamwork skills German language skills at B1 level are
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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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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– Universitätsmedizin Berlin. Your Tasks Are you passionate about bioinformatics and eager to work in an interdisciplinary team? In our group, you will work on the following tasks: Develop and adapt bioinformatics
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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