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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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to characterize biodegradable Mg alloys containing a Long Periodic Stacking Ordered (LPSO) phase, developed for medical implant applications. You will be responsible for establishing a correlative
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Description Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine
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, catalysis studies - in particular electrocatalysis and Python programming Experience within the following fields is highly beneficial: Transmission electron microscopy, Electrochemistry, Image analysis, Big
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mechanisms underlying psychosis. The research utilizes advanced multiphoton imaging and virtual reality platform for simultaneous recording of animal behaviour and microcircuit activity. RESPONSIBILITIES
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microscopy and automated image analysis Basic knowledge of toxicology (e.g. through DGPT training courses or relevant studies / professional experience) Experience in establishing test methods Conscientious
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: Microscopy, histology, and image analysis to phenotype root anatomy. Plant and root physiological measurements to determine the function of root phenotypes. Genome-wide Association Studies (GWAS) and
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image analysis to phenotype root anatomy Plant and root physiological measurements to determine the function of root phenotypes Plant cultivation (maize) in the greenhouse and field Keep informed with
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residency track for medical doctors. We welcome applications starting on August 15, 2025 for a start in 2026 (flexible). Please apply until October 31 through our application portal on our website