12 web-programmer-developer-"U.S"-"U.S" Postdoctoral research jobs at Heidelberg University
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2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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-dimensional cell cultures are important to enable realistic cell environments for disease modeling and to analyze cell interactions. This position will address the question of how one can develop minimally
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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experimental scientists, gaining unique opportunities to develop and apply a cutting-edge suite of systems virology techniques to dissect the RNA biology of viruses and their hosts. This role provides ample
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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available in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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in written and spoken English Structured and independent working style Desirable: Experience or interest in bioinformatics Wir bieten Ihnen Goal-oriented, individual training and development
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process A wide range of opportunities for further training and career development Remuneration for the position is based on pay group 13 TV-L. The contract is limited to 24 months. For further questions
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches