572 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Netherlands
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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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 conduct high quality academic research, reflected in demonstratable outputs. Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills. Strong cooperation skills and
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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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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the vacancies page on our website: https://www.mpi.nl/career-education/vacancies/vacancy/3-year-postdoctoral-research-scientist-position-statistical Direct link to the application form: https://recruitingapp-5569
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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