13 digital-image-processing-phd-scholarship Postdoctoral positions at Heidelberg University
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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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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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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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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circulation Your Profile PhD in a relevant field (or close to completion) Solid experience working with Drosophila Prior experience in lipid metabolism research is a plus, but not required Strong communication
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in the consortium. Your profile PhD in the field of mass spectrometry-based proteomics Ample experience in mass spectrometry-based proteomics, including sample preparation and hands-on use of modern
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scientists and bioinformaticians at the national and international level Your profile PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational
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Stellenanzeige teilen wanted for the next possible date at the Department of Surgery, University Hospital Heidelberg for the Translational Pancreatic Cancer Research, AG Neoptolemos. Job-ID: V000014374 Field
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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
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applicant will have good communication and organisational skills and a PhD in a relevant area (or be in the final stages of completion). Candidates are expected to be highly motivated and to work