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and international conferences, writing R&D reports and scientific publications. What you bring: Ph.D. in Computational Biology, Immuno-Oncology, or a related data-driven field with at least 2 years of
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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) Familiarity with using R and/or Python for answering biological questions (desired) WE OFFER: An international, multidisciplinary, and creative working environment Innovative technologies Excellent