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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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process . You can also contact HR Services, [email protected] . Are you inspired and would like to know more about working at TU/e? Please visit our career page. Website for additional job details https
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activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the traineeship The objective
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work package at Wageningen Research and the Netherlands Ministry of Agriculture, Fisheries, Food Security and Nature (LVVN = Ministerie van Landbouw, Visserij, Voedselzekerheid en Natuur). You will work
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on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy demand, hindering scale-up. Information This project will be executed together
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million natural history objects, dedicated mentorship, and access to our broad international network, this position offers everything you need to thrive as a scientist. As a Postdoc You will find yourself
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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sufficient natural light. The project objectives are aligned with the Multi-Year Mission-Driven Innovation Programs (MMIPs) of TKI Bouw en Techniek: Climate-resilient, nature-inclusive, and context-aware