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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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to translate your findings into more efficient production processes and better quality control. Your work will directly promote sustainability through reduction of material waste in production and pigment
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, Computer Science, Bioinformatics, or a related field. - Passion for machine learning, natural language processing, and biomedical data. - Strong analytical skills and a willingness to learn new techniques
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efficacy studies. As Senior Project Manager Biosafety, you are the subject matter expert in (inter)national biosafety and biosecurity legislation relevant to the design, construction, and operation of
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by a relevant master research project experience or course study); a theoretical background and an interest in inland-water carbon cycling especially methane processes, biogeochemistry, redox reactions
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Your job As climate change worsens droughts and water risks, sustainable, adaptive water management is more urgent than ever. Nature-based solutions (NBS), which use natural processes like forests
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implemented in real neural tissue. Importantly, there are two alternative theories on how error signals in predictive processing could be coded in neural signals: either as (1) top down signals from ‘higher
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, e.g. have group meetings, together with the PhD students who are already working on these topics and are co-supervised by Goeman and De Heide. If you apply to this vacancy, you can indicate you
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Molecular machines are essential for biological processes such as molecular transport, DNA maintenance, and motion. The ability to design and control synthetic molecular machines offers