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of Southern Denmark, Vienna, and Gothenburg, as well as Carnegie Science, and synergistically integrates innovative oceanographic, biogeochemical, ecophysiological, and model-based investigations. The position
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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for a candidate to help with characterizing drug delivery, developing models (e.g. PK), and measurement ex vivo and in vivo as well as developing encapsulated transgenic cell-based therapies for ocular
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information see https://www.kuleuven.be/personeel/jobsite/jobs/60473129 Job description Design and implement chemometric and machine learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify
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evolution, and further to modelling. Investigating transcriptional profile of lncRNA. It can be expression quantification, alternative splicing, start sites properties. Performing AI modeling and developing a
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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field of active tectonics including one or more of the following: seismology, seismotectonics, paleo-seismology, tectonic geodesy, tectonic geomorphology, and numerical/analogue modelling. We are looking
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, lipid metabolism, and gene regulation. We investigate: Lipid metabolism of the nuclear envelope Nuclear pore complex architecture Chromatin-associated signaling pathways As one of our model systems, we