12 phd-biomedical-signal-processing Postdoctoral positions at Heidelberg University in Germany
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the possibility of extension) 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
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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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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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(EMBL), the hospital fosters cutting-edge biomedical research across disciplines. Heidelberg University Hospital focuses its research on oncology and tumor biology, rare genetic diseases, and innovative
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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and contribute to publications your profile MD or PhD in biology, biochemistry, molecular biology, or equivalent Strong expertise in molecular biology techniques including Western blotting
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responses. The position will be embedded within the research groups of Prof. Dr. Peer Fischer and Prof. Dr. Jochen Wittbrodt to combine engineering and biomedical expertise. The position is also embedded in
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of experiments in the framework of the scientific project plan Preparation and presentation of project reports and publications Your profile PhD in biology, biochemistry or equivalent Broad expertise in basic cell
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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