229 computer-science-quantum-"https:"-"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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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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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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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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/ 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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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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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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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
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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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