156 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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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 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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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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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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experts in biomarker-related work. Report study results in scientific papers. Where to apply Website https://www.academictransfer.com/en/jobs/357650/postdoc-on-prediction-subgroupi… Requirements Specific
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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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and analytical outputs for stakeholders. Support stakeholder engagement activities (workshops and pilots). Contribute to academic publications based on the project’s work. Where to apply Website https
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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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of these datasets with state-of-the-art computational methods. The successful candidate will collaborate with 2 PhD students on the project. Where to apply Website https://www.academictransfer.com/en/jobs/357581
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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