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or equivalent in a life science, chemical, medical or pharmaceutical field High level of motivation and good lab experience of protein biochemistry, cell biology, chemical biology, molecular biology, bioorganic
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Job Advertisement Job-ID 04/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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biology of (bio)medical questions but at the same time should not be shy of imaging technologies in development. Hence, the candidate should bring a readiness to try new techniques and approaches and
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The candidate will operate at the interface of protein engineering derived variants (molecular biology, protein biochemistry), structural understanding (structural biology) and photophysical studies (biophysics
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Description The Department of Ecology at the School of Biology/ Chemistry is seeking to appoint a Research Assistant (m/f/d) (salary grade E 13 TV-L, 65 %) to commence at the earliest possible date
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 hour ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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start-up phase e.g. after their PhD. Hence, we look for the following capabilities: • University degree (MSc or PhD) in of physics, engineering, medicine or biology. • Experience in optics and
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functional strategies and how in turn they affect ecosystem functioning present your results at national and international conferences publish in scientific journals Your qualifications: master in biology
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, providing excellent conditions for high-impact analytical work and method development A broad and diverse project portfolio spanning basic biology, translational and clinical research – ideal if you like
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working