24 senior-lecturer-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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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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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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findings. Present findings at conferences, workshops, lectures, and stakeholder meetings. Participate in the theoretical and methodological development of the larger “Beyond the Hoof” project with the PI
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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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to the organisation of academic conferences, as well as a range of outreach and knowledge dissemination activities, including the ABIS project teacher education program Department of Philosophy and History of Ideas
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the opportunity to contribute to an internationally competitive research programme at the interface of proteomics technology development, regulatory protein biology, and cancer research. Expected start date and
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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