95 data-compression Postdoctoral positions in Ireland-University-Ranking-2024 in Denmark
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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with related departments. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, [email protected]. Application procedure Shortlisting is used. This means
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) to study atomic structures of optically excited small unit cell crystals. The project involves measurements, data reduction and structure refinement of large serial femtosecond X-ray (SFX) crystallography
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to learning Danish, including reading, writing, and speaking, is expected during the employment period. Contact Further information on the position may be obtained from Professor Margit Bak Jensen
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and fungal spores. The geographical focus is on both the urban environment and agricultural areas in Denmark • You will be contributing to the dynamical integration of near real-time data into WRF
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the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success, the successful
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-throughput sequencing datasets, including eDNA, metabarcoding and metagenomic, data. Integrate molecular, ecological and environmental datasets to address research questions related to biodiversity, pollinator