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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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Applications are invited for a Postdoctoral Research Associate in Machine Learning for Chemistry to work in the research group of Professor Volker Deringer at the Department of Chemistry. About the
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neurobiologically mechanistic modeling (i.e., models should incorporate known neurobiology and neurophysiology, rather than relying on black-box machine learning approaches). * Demonstrated track record in multiscale
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collaborative research environment and will work closely with investigators across psychiatry, neuroscience, engineering, data science, and neuroimaging methods. The position provides opportunities to collaborate
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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industrial partners. Our group offers an open and collaborative environment in which we focus on hands-on learning and personal growth of all group members. We are looking for excited and talented candidates
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
planning in species such as dairy cattle, pigs, aquaculture and insects to be used for research and in projects in collaboration with the breeding industry. The candidate selected for this position will join
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Post-doctoral Researcher position. We seek an ambitious, well-trained, and collaborative scholar with a PhD in economics or a related field. Candidates must have expertise in experimental methods and