146 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" scholarships in Belgium
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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab
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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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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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) grant (Grant agreement ID:01227645, https://doi.org/10.3030/101227645 ) ” Specifically, this PhD position (DC5) focuses on the development and comprehensive assessment of "Fermentation and DSP
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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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ESM Item Repository (https://esmitemrepositoryinfo.com ). Building on ongoing methodological and meta-science work in the CCP and CMPO, this project will develop and psychometrically validate gold
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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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within a Research Infrastructure? No Offer Description Our society relies on machines and engines, and so does life itself. Molecular motors are found throughout biological systems, where their intricate
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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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that monitors the radiation beam in real time, learns from data how the dose evolves, and autonomously reacts to protect patients from anomalies. The work involves both experimental physics and AI modelling