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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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what motivates people, how that influences their decisions, and how this may change across adulthood. We use a wide variety of behavioral, modeling, and neuroimaging techniques. Please see https
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an ecosystem. Our preliminary data suggests that this may be the case. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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recognized as one of the leading international experts in theoretical and numerical ocean modelling. Florian Lemarié is an expert in the application of mathematics to ocean modelling. The PhD project will also
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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. The PhD student will be in charge of analyzing the full data set in order to finalize the background model, study the two-neutrino double-beta decay of 82-Se, and search for neutrinoless modes. Where
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scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and