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Field
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experience in fluorescence microscopy, quantitative image analysis, biomolecular condensates, or stress response or repair processes is a strong advantage experience with biochemical or biophysical assays (e.g
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notice pursuant to Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application, available at https
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University of Tübingen − Faculty of Medicine | Baden Baden, Baden W rttemberg | Germany | 3 months ago
: Medical Oncology and Pneumology and with integration into the Cluster of Excellence “Image-Guided and Functionally Instructed Tumor Therapies” (iFIT) as a Professor (W3) in Functional Immunogenetics (f/m/d
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
young scientists to conduct groundbreaking research and technology development across the life sciences. About us EMBL AI is EMBL's ambitious new initiative aiming to exploit the full potential of AI
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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to Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application, available at https://portal.mytum.de/kompass
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for clinical text, imaging, and laboratory data Building and maintaining reproducible experiments, benchmarking pipelines, and analyses Collaborating with clinicians, data scientists, and software engineers
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self