555 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" positions in Belgium
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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with their personal goals and interests. Your profile Master's degree in Information Systems, Economics, Operations Research, or related fields Strong knowledge of quantitative and/or computational
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engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results are an asset. A strong interest in scientific research in machine learning and AI
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and international projects in IRiSC, including proposal preparation, reporting, and coordination with external partners Foster collaborations across disciplines - in particular between computer science
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/ Computer Science, Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering, Computer Engineering or Applied Mathematics Programming Skills: Programming Experience with Python, C/C++, ROS
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The Faculty of Engineering, Department of Applied Physics and Photonics, Brussels Photonics (B-PHOT) research group at the Vrije Universiteit Brussel (VUB) is looking for an excellent PhD candidate
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hold or will have obtained by the time you start work, a Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Energy Engineering, or a related field
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of obtaining a PhD within a period of 48 months. These scholarships are only awarded within the framework of the planned cooperation with GUGC ('Ghent University Global Campus' in Korea) or the thematic science
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) at Ghent University is seeking a highly motivated PhD candidate to join our research program on the plasma-assisted development of advanced tissue engineering scaffolds. The project explores how cold plasmas
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working on nonlinear and multiphoton optical spectroscopy and microscopy for molecular and materials characterization. The project is part of the broader MIP research programme across KU Leuven (Leuven and