55 parallel-and-distributed-computing Postdoctoral positions at Aarhus University in Denmark
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a one-year postdoctoral position within the area of
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity
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The Center for Sustainable Energy Materials (CENSEMAT) at the Department of Chemistry, Aarhus University, invites applications for a 24-month postdoctoral position in computational materials
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behind the establishment of cell type specific histone modification distributions, using pooled perturbation screening. You will work primarily with mouse embryonic stem cells (mESCs) and gastruloid
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Aarhus and Aalborg. The primary workplace will be in Aalborg, with regular activities in Aarhus. The expected distribution is ap-proximately 1–2 days per month in Aarhus and the remaining working days in
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carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply