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inside compartments and use this knowledge to tailor IDPs for enhanced biocatalysis. Your profile: Eligible candidates have strong skills in molecular biology, (bio-)chemistry, and biophysics and have
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publication record #excellent programming skills in Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) #good knowledge of English (written and oral) #high degree
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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strong analytic and problem-solving skills, creativity an independent, target- and solution-driven work attitude fluency in English, knowledge of German would be a plus What you can expect from us: A
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and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. This 3-year position, part of
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their educational experience. This interdisciplinary work integrates perspectives from cognitive neuroscience, educational psychology, and digital pedagogy. REQUIREMENTS: An outstanding Master's degree in cognitive
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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independently and as part of a multi-disciplinary team a strong interest to acquire biological knowledge and work together with life scientists very good communication skills in English Are you interested? Then
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journals REQUIREMENTS: Master's degree in Neurobiology, Psychology, Biology, or a related field Strong interest in psychosis, neuroimmunology, and cognitive processes Experience with animal models
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medicine, medicine or other related subjects / life sciences Strong knowledge in molecular biology, biochemical and immunological techniques such as western blot, flow cytometry, cell culture, ELISA