452 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Belgium
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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science
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students working on the early modern and modern Arabic corpus within the project You will be expected to design and teach academic courses on Arabic epigraphy and fieldwork methods, You will be responsible
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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» OtherEducation LevelPhD or equivalent Skills/Qualifications Who you are PhD in Computer Science, Machine Learning or related field or 5+ years of relevant industrial experience. Strong track record of developing
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leverage state of the art machine learning models (AlphaFold2, RFdiffusion) and multi-omics data integration to guide the rational design and optimization of therapeutic antibodies. Overall, you will have
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.•Remuneration according to the KU Leuven salary scale, including travel reimbursement: https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… ;•The PhD would begin as soon as possible, with
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on various aspects of (micro)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology
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application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms ). The filled out form (in PDF format) should be returned before 30/04/2026 by e-mail to
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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of thermal energy and (hybrid) machine learning in which physics-based models are combined with data-driven techniques. Thermal cycles make it possible to meet the demand for heating, cooling, and electricity