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guided and supported by post-docs and senior researchers, in Luxembourg and from our international network of collaborators. You will be spending time also in Cambridge and Lisbon. For further information
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mechanisms involving genetic, epigenetic and chromatin organisation factors governing the cell-type specific response to ARS mutations. Therefore, integrative genome-wide cis-regulatory network analysis
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis
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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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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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devices that incorporate strategic markings, to improve the spatial resolution of 5D ED experiments (which involve both 4D-STEM and 3D ED). You will code the necessary tracking software for your developed
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or electrical engineering. You are motivated, creative and have a passion for academic research. You have an affinity with both experimental research and simulation software. You have a strong technical knowledge
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in the top 10% of their cohort. Proficiency in software engineering and knowledge of python are a plus. You should be a native speaker of English or Dutch, or provide proof of English proficiency
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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to UGent software, shared documents and printers. Travelling costs from home to work will not be refunded for exchange PhD-students. Whether you are entitled to be reimbursed for work related travel depends