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- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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· A scientific CV with contact details · List of publications (and patents, if applicable) · Contact details of 2 references Please apply ONLINE formally through the HR system
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fellowship must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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. The following will be considered advantages Good understanding of quantitative methods. Familiarity with established softwares for the analysis and processing of MRI images of the brain. Experience with
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and