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(ImageStreamX MkII), acquiring data and developing novel analysis strategies. The project involves project management, laboratory work, data analysis and statistical processing, and manuscript writing. Where
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degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent. The successful applicant is expected to have: PhD in medical
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cognitive neuroscience. You have documented experience in experimental research on learning or decision-making with knowledge of computational models (e.g., reinforcement learning). Good statistical skills
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active
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To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent to physics, mathematics, or molecular biology. But more importantly, the candidate should
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taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
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two-year scholarship. Duties: Expected tasks include (1) data curation and statistical analyses of already acquired agronomic data from forage cultivars, species, and crop rotations (2) managing and
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in