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diseases by uniting AI and nanotechnology Lead the bio-market via trans-disciplinary convergence in AI, nano-optics, and protein-structural biology Core Technologies: Neurobiology, Neuroscience on proteins
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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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scheduling to accommodate time-sensitive experimental procedures. Who we are looking for A dedicated researcher with a PhD in neuroscience, cell biology, molecular biology, bioinformatics, or a related field
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming
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materials. Required Qualifications PhD or MD in neuroscience, psychology, cognitive science, or a related field. Strong experience in neuroimaging data acquisition, analysis, and interpretation. Proven
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, neuroscience and personalized medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree program. Academic staff
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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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applications Required Qualifications: PhD in Cell Biology, Immunology, Neuroscience, Bioengineering, or related field. Strong background in molecular biology, cell culture, and protein engineering. Experience
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning