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design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Outstanding spoken and written
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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desirable) Interest or experience in Earth system modelling, remote sensing, and/or machine learning Ability to work independently and collaboratively in an interdisciplinary environment High proficiency in
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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: machine/deep learning, numerical modelling, statistics, optimisation, scientific computing • Ability to work across disciplines and collaborate with academic and industrial teams Desirable: • Experience in
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are specifically encouraged to apply. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Qualification requirements PhD