25 parallel-and-distributed-computing Postdoctoral positions in Postdoctoral in Denmark
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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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validate these computational models, the group has engineered automated, high-precision experimental test benches. You will join an international academic environment where collaboration across topics and
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extending to 2100 and, where appropriate, 2300; develop and/or integrate hierarchical species distribution models and/or dynamic vegetation modelling approaches, using contemporary and historical biodiversity
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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, everyone, regardless of personal background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with
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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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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
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader