412 machine-learning "https:" "https:" "https:" "https:" "U.S" uni jobs in Netherlands
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- Tilburg University; 16 Oct ’25 published
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Website https://www.academictransfer.com/en/jobs/356174/protein-facility-lead-scientist… Requirements Specific Requirements The successful candidate will express and purify proteins from different systems
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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national and international events and conferences; proficient in general computer skills and experience with electronic collaboration tools; and willing to learn the Dutch language. The working language of
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researcher: You actively acquire internal and external projects within the field of bacteriology You participate as a researcher and subject-matter expert in projects Where to apply Website https
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with the project consortium and publish findings in (scientific) publications. Where to apply Website https://www.academictransfer.com/en/jobs/357569/engd-in-innovative-sustainable-… Requirements
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mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and
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research agenda and growing as an academic while actively collaborating with the MCT group, for instance in the form of research collaborations and joint funding applications. Where to apply Website https
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used when communicating with farmers, industry partners, and local stakeholders Your duties and responsibilities include: Acquire and write proposals for national and EU funding and contribute
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15 Nov 2025 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Computer science » Computer systems Computer science » Programming Researcher
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variations). As part of the laboratory activities, new challenges are identified: in particular, the use of Machine Learning techniques to predict atomic clock anomalies based on the processing of its