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16 Apr 2026 Job Information Organisation/Company Heidelberg University Research Field Biological sciences Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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at the interface of computational biology, functional assays and clinical translation Contribute to shaping data-driven precision medicine strategies in neuroonolocgy Your Profile PhD in computtaional biology
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candidate with a BSc/MSc degree who is searching for additional experience in the lab before applying for PhD positions. Job-ID: V000015493 Field of application: Institut für Experimentelle Kardiologie
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, VEIL.AI) on federated, privacy-compliant data sharing. Document analysis results and prepare scientific publications. Your profile Master degree in Bioinformatics, Computational Biology, Data Science, or
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PhD in biology, biochemistry or equivalent Proven experience in research of MLLr acute leukemia Broad expertise in basic cell-molecular and biochemical techniques (Western blotting, immunoprecipitations
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(www.denkglobaldx.org), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and health-economic
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join our Modelling & Data Science Team and support two international research projects aiming to advance diagnostic tools for tuberculosis and respiratory infections (incl. breath-based tools) through
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner using comparative panel data and
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data