548 computer-science-intern "https:" "https:" "https:" "https:" "Ulster University" positions in Belgium
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theoretical work in International Relations and discourse theory with hands-on empirical analysis using qualitative and computational methods. You will devote most of your working time to research. Additional
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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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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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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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VIB (Vlaams Instituut voor Biotechnologie) is a renowned life sciences research institute in Belgium, committed to conducting groundbreaking research in life sciences and biotechnology with
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the supervision of PhD students. Profile You hold a PhD in physics, mathematics, engineering or computer science from a non-Belgian institution (or you will have obtained it by the time you start work). You have a
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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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applications from candidates (m/f/x) with: Educational background A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology
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where each offers its own separate study programme, rather than a joint study programme. Students can choose to complete part of their studies at a partner institution, allowing them to earn two separate
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven