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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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. Photonics presents an ideal way to achieve this breakthrough due to its inherent parallelism and high speed. We aim to create accelerators for a broad set of problems, that are faster and more energy
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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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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science
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better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources
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), investigates the development and evolution of the human brain, with a focus on human-specific genetic programs, synaptic neoteny, and neurodevelopmental disorders. The labs are located at NERF and VIB-KU Leuven
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), investigates the development and evolution of the human brain, with a focus on human-specific genetic programs, synaptic neoteny, and neurodevelopmental disorders. The labs are located at NERF and VIB-KU Leuven
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of communication networks Antenna theory Programming Skills: MATLAB, C/C++ Language Skills: Excellent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus. We
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statistics/ mathematic background Strong programming skills in at least one major programming language Interest in applying relevant mathematical modeling techniques A collaborative team player with a desire
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for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training. Your Responsibilities: Conduct research in