590 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Netherlands
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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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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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a
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relevant events. Where to apply Website https://www.academictransfer.com/en/jobs/359117/2-phd-positions-in-statistics/a… Requirements Specific Requirements Essential We are looking for someone with a
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-generated scenarios or machine learning-driven attack/defense strategies; Experience in developing comprehensive security assessments, producing technical reports, and contributing to toolkit documentation
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doing their final assignment on sub-projects pertaining to the current research project. The PhD research will be performed in the Production Technology group. Where to apply Website https
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expertise lies in machine learning, artificial intelligence, data mining, signal processing, or statistical modeling, with an interest in applying these skills to ocean science. You have strong organizing
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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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on the individual DC projects can be found on the consortium website: www.integrate-dn.eu . Where to apply Website https://www.academictransfer.com/en/jobs/358012/16-phd-positions-to-advance-psy… Requirements
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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