152 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Netherlands
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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priority area of the University of Amsterdam is looking for a new PostDoc to amend our existing team (https://humane-ai.nl/ ). AI is everywhere. Chatbots, translation tools, shopping assistants, hyper
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at least one article in a peer-reviewed journal You will contribute to the acquisition of data on prayer books in Middle Dutch in the PRAYER database (the database has been set up in Heurist; https
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: https://rademaker.unige.ch/ The candidate · holds a PhD (or an equivalent degree) in Theoretical Quantum Matter Physics by the starting date; · has excellent spoken and written English
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through data analysis and interpretation. Where to apply Website https://www.academictransfer.com/en/jobs/359153/postdoc-development-of-a-microb… Requirements Specific Requirements PhD in microbiology
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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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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn