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, HVDC systems and inverter-based resources. Experience with PSCAD, EMTP, RTDS, OPAL-RT, PowerFactory or MATLAB/Simulink. Programming experience in Python, Julia, MATLAB, C/C++ or related languages
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focuses on a modular sensing system combining ultraviolet (UV), visible (VIS), and near-infrared (NIR) reflection spectroscopy, fluorescence spectroscopy, and Raman spectroscopy, supported by a co-optimized
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, microscopy, spectroscopy, pore-structure characterization, geochemistry. You are interested in interdisciplinary research at the interface of materials science and microbiology and are motivated to acquire
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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. publish in relevant journals and present our work at conferences. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/wireless-dsp-researc… Requirements Research
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twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and software
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results. You have experience with MATLAB and dynamics systems. Experience in the field of Optometry, Neuroscience and/or Structural Engineering is recommended. You have a good knowledge of English, both
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, MATLAB, C/C++, etc.) and/or knowledge of holographic imaging is a plus; Prior knowledge and hands-on experience with state-of-the-art machine learning frameworks (e.g., sci-kit-learn, Tensorflow, PyTorch
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset