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with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical
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elsewhere. Your primary tasks will be to: perform literature review (peer-reviewed, books and grey literature) on volatile gas and aerosol PFAS emissions from waste management facilities, aiming to make a
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of instrumentation, in particular high-energy instrumentation, i.e. X- and gamma ray detectors and -optics. The division is currently active in the operation of instruments and data analysis from three satellites
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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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expertise in dependability, performance, and sustainability will drive us towards a smarter, greener future. By joining us, you stand to gain extensive support unlocking your career potential. You'll have
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, scipy, scikit-learn, pytorch, pytorch geometric, etc.). Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance. Software
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platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive