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policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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-cell electroporation, software development, optogenetic techniques, mouse behavior. Coding skills (Python, Matlab, R). Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access
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experience developing and adapting qualitative coding schemes based on dialogue and behaviors (from video, audio, eye movements, and log file data), as well as experience working with physiological sensors
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Duties/Responsibilities: 100% Behavioral neuroscience research, including designing
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models