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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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simulation environments and real-world deployments with the nano-drones of the University's SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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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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, Vehicular Communications Experience in system modeling and simulation of communication systems Strong programming skills in MATLAB are required; experience with Python, C/C++, or GPU-based computing is an
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Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models is an advantage Strong analytical thinking and
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Leuven, one of Europe’s leading research universities State of the art research facilities. A dedicated training program to broaden your expertise and enhance your skillset. A competitive compensation
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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience