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sustainability in mechanical product development. A central aspect of this research will be the investigation and development of innovative mechanical design paradigms made possible by the integration
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/mod/aboutand our linkedIn page: linkedin.com/showcase/lmsd-kuleuven/. The PhD will be co-supervised by prof. Varvara Kouznetsova (https://www.tue.nl/en/research/researchers/varvara-kouznetsova ) from
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additional biomarker candidates•Contribute to the development of biomarker panels with diagnostic and/or prognostic potential The ideal candidate will have:•A Master’s degree in biomedical sciences
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industrial partners, integrate into existing workflows, and support the timely delivery of project outputs. Your work will involve contributing to research, development, and experimental activities, as
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fluid. Based on this, an innovative biomarker platform will be rolled out that aims to increase the success rate of early-phase clinical studies and ultimately accelerate the development of an effective
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Kulak (https://kulak.kuleuven.be/ ), where you demonstrate active engagement in interdisciplinary collaboration, both internationally and with colleagues on campus, within the faculty, and/or within
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citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
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Research and Development according to the applicable procedures of the KU Leuven. Your teaching assignment will be determined in consultation based on your specific profile and will include lectures as
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of data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess
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disciplines (design, manufacturing, and testing) towards the development of a next generation of patient-specific shoulder implants. The number of shoulder replacements is projected to increase by 300-400