449 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions in Belgium
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-guided machine learning. You are quick to assimilate information and capable of independent research. Experience in the pharmaceutical sector is an advantage You speak and write English fluently. You are
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application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/parttime-15-postdoctoral… Requirements Research
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices
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environmental thresholds for mangrove establishment and coastal protection. This computer modelling step may be elaborated by the PhD student or another post-doctoral researcher working on the project, depending
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. More information can be found on our website: https://www.b-phot.org . The candidate will be supervised by Prof. Francis Berghmans, and co-supervised by Dr. Sidney Goossens and Dr. Sergei Mikhailov
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for a Project Management and Operations Officer. One of your main tasks will be to take on the role of Node Coordinator in ELIXIR Belgium (https://elixir-europe.org/about-us/who-we-are/nodes/belgium
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Research Council (ERC) Starting Grant https://www.kuleuven.be/english/research/EU/p/he/p1/erc/IonFracMem ) aims to address this challenge by developing novel membranes that combine fast throughput with