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the Leibniz Research Alliance Advanced Materials Safety, the postdoctoral researcher will responsibly undertake experiments in the marine experimental facility of ZMT, in particular culturing foraminifers and
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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as demonstrated by a strong publication record. Expertise and practical experience with next-generation sequencing laboratory procedures. Expertise and practical experience in data management and
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field
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: Postdoc: Ph.D. in Materials Science, Physics, Chemistry, Mechanical/Electrical Engineering, or related field PhD candidate: Strong Master’s/Diploma degree with very good grades Experience in materials
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the phenomenology of cognition (e.g. formalizing concepts such as reasoning, agency, meaning, or experience into testable computational models, skill acquisition, and affordances). The successful candidate will bring
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development in times of geopolitical rivalry expertise in financial infrastructures, infrastructure finance in peripheralized countries/regions is highly desirable experience of publishing in geography and/or
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determine the associated fitness outcomes. Your Profile PhD in Behavioral Biology or a related field e.g., Cognitive Sciences Experience in conducting observational and experimental studies with wild
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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer