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Your job Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a
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we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
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of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods to answer biological questions. Novel methodology for the analysis of single-cell
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(geometric deep learning, transformer-based approaches, ...) with a focus on protein-ligand interaction dynamics in collaboration with wet-lab researchers? If so, this fully funded PhD position might be
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
, data-science (e.g., neural networks, deep learning, autoencoders, GANs, active learning, etc.); · Knowledge of explainable AI and Knowledge Graphs with ontology (e.g., RDFS, OWL
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
(deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Strong interpersonal skills Ability to work
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and prosthetic devices in the real-world. This PhD project offers the opportunity to work on pioneering research that combines state of the art computational modelling (deep neural networks) and
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computer science (notably from the artificial intelligence and deep-learning field), requiring the collaboration of experts with different expertise. The ambition of the project resides in popularizing AI
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contemporary societal challenges. EGB faculty apply advanced quantitative and qualitative methods. To learn more about the research and teaching profile of the department, please visit the departmental homepage
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holidays between Christmas and 1 January; Multiple courses to follow from our Teaching and Learning Centre; Multiple courses on topics such as leadership for academic staff; Multiple courses on topics