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these duties with occasional oversight and direction. 2. Assistance with the design and implementation of animal histology pipeline, including transcardial perfusion, brain extraction, slicing, and processing
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Description The National University of Singapore invites applications for a Research Assistant (RA) position in the Computational Brain Imaging Group (CBIG), at Yong Loo Lin School of Medicine. More information
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Internal Number: 31440 Posting Number: S06919P Job Description: School of Behavioral and Brain Sciences The University of Texas at Dallas The Language Interaction and Language Acquisition in Children (LILAC
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academic atmosphere. We are particularly proud of our pioneering Master’s programme in Digital English Studies (https://www.ln.edu.hk/eng/mades ), which directly addresses the profound shifts brought about
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Collection Site (DCS) in the Djavad Mowafaghian Centre for Brain Health at the University of British Columbia. In some cases, interviews may be performed by telephone call, for example when participants live
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academic atmosphere. We are particularly proud of our pioneering Master’s programme in Digital English Studies (https://www.ln.edu.hk/eng/mades ), which directly addresses the profound shifts brought about
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updates. Minimum Requirements (Essential) Education PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. Technical Skills
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23 Jan 2026 Job Information Organisation/Company National Institute of Information and Communications Technology Research Field Engineering Computer science Technology Information science Researcher
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& Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior