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Field
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Post Doc Researcher - Clinic neuroimaging & cognitive research in Parkinson's Disease - (180001N4) Description: Applicants are invited for a post-doctoral researcher position within the Department
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Physics”, project number 760034/23.05.2023. Activities that require knowledge of the methods of analysis and synthesis of research methodologies, as well as the ability to use them in the project field
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python in the context of physics, knowledge of Linux/Unix 3) scientific
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python, Linux/Unix environment, ROOT package 3) scientific achievements in
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. Currently, research activities focus on applying research methods from experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study
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activities (e.g demonstrating etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator. 10. Keep up to date with current knowledge and recent advances in
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faculty and trainees in the department and collaborating programs. The successful applicant will have a solid background in social psychology, cognitive psychology, or related field as it relates
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writing skills in English. Knowledge of basic physics of radiation and nuclear decay Desirable Qualifications: Experience in the operation of medical imaging systems, such as PET/CT or SPECT/CT Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
students in the areas of behavioral and integrative neuroscience, clinical, cognitive, developmental, quantitative, and social psychology; 3) to carry out cutting-edge research in these areas, and 4
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-EM Experience/knowledge with Python-interfaces, including CryoSPARC or Relion. Experience/knowledge with purification and functional characterization of - preferentially eucaryotic - membrane proteins