160 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Netherlands
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with new challenges in cybersecurity of the Dutch armed forces. The postdoctoral candidate will work on a project developing and evaluating forecasting models for the analysis of defense relevant
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while enabling secure data reuse across organizations Explore and apply AI, machine learning, and big data technologies to derive insights from microbiome data Analyze existing data platforms and portals
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? If yes, then you might want to join the Ultracold Strontium Group
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the Job related to staff position within a Research Infrastructure? No Offer Description Do you have a passion for developing the teaching and learning of green hydrogen skills? In that case, please
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application via the Apply Now button. You may address the application to the Program Chair, Prof. Dr. Ward Berenschot (do not email him your application). Where to apply Website https://www.academictransfer.com
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to develop synthetic cells that mimic tubular function by integrating transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358753/researcher-position/apply/ Requirements Additional Information Website for additional job details https
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process