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applications for a Full Professorship (W3) in “Multimodal Imaging” (f/m/d) to be filled at the earliest possible date. We are searching for a researcher with an internationally visible, original research program
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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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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
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cancer Establish single-cell perturbation screening approaches to investigate cell fate decisions and disease mechanisms Integrate high-content imaging, single-cell transcriptomics, and functional assays
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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into automated cell culture processes and assist with sensing to facilitate the generation, of long-term cultures and analyses of patient-derived or iPSC-derived organoids Your profile: We seek a highly motivated
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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Heidelberg oder per E-Mail (als 1 zusammenhängendes PDF-Dokument) an: sekretariat.sadlo@iwr.uni-heidelberg.de mit Betreff „Bewerbung coding4heiCO“. Wir bitten um Verständnis, dass eingegangene
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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