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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain
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learning techniques to improve diagnostic values and (bedside) application. Applied EEG studies are complemented by biophysical modeling and simulation for improved understanding of underlying neuronal
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methods, or else the ability and willingness to learn on the job. A strong motivation for doing a PhD. The exact requirements depend on the specific subproject you apply for. Please indicate in your
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X-ray spectroscopy, methane isotopes, metagenomics and transcriptomics), combined with reactive transport modelling. Your teaching load may be up to 10% of your working time. Would you like to learn
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, complemented with video elicitation interviews. Please go to this page to read the full research proposal. We are seeking candidates who are interested in learning or who are already experienced in video based
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of English. Reading proficiency in relevant modern languages (e.g. German, Italian, French) or ability and willingness to acquire it. Excellent communication skills. Willingness to move to/reside in Groningen
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, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging
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degree. Selection Criteria MSc in Biology or related field Experience or affinity with analyses of genomic and transcriptomic sequencing data Wet-lab experience with, or eager to learn, molecular
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of this project, the theme of sustainable behavior change is central. We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your
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technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team