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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 18-month Postdoctoral Research Fellow position focused on Human-Centered AI and Data Visualization
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Research Fellow in Mental Health Data Linkage to join the Twins’ Early Development Study (TEDS), one of the world’s leading longitudinal twin cohorts. Working within the MRC-funded renewal of TEDS
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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, behavioural, and cognitive data. Additionally, the candidate will act as the clinical lead for two experimental psychopharmacology studies examining paranoia in healthy volunteers following the administration
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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project deadlines effectively Ability to work independently and demonstrate initiative in formulating and executing own research projects Contact information For further information, please contact
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, particularly in analysis of crosslinking and immunoprecipitation (CLIP) data. You will be a dynamic, creative, and motivated scientist interested in pursuing questions deeply. With a strong understanding of the
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the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
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QTLomics as part of the project. Main responsibilities Collect and standardise functional information, including QTL data, RNA-seq, and Gene Ontology (GO) annotations Develop computational pipelines for QTL
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: This post is one of several new appointments in the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is