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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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intervention systems; digital healthcare systems; real-time physiological monitoring technologies; multimodal data integration and analysis for imaging and sensing. Human Centered Models and Systems: human stem
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production is established, they will utilise the polymer for 3D printing of PHA-based patches with controlled temporal and spatial drug release in the EPSRC project. This work will be in collaboration with
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-scale atmospheric conditions. Most current regional and global atmospheric chemistry models struggle to represent plume processes. Their spatial resolutions are typically too coarse to resolve plume-scale
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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spatial accuracy of approximately 5 nm and temporal accuracy of 2 to 5 ms in cell cultures on coverslips. The aim of this project is to achieve the same performance in depth in biological tissues
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Neuroscience, or a related field—or an equivalent combination of education and relevant experience. 3+ years of experience fine-tuning spatial transformer networks, contrastive learning, model distillation, RLHF
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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models