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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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dynamics, or power electronics (an asset, but not required). We particularly encourage applications from candidates with experience in developing scientific or simulation software, even if their previous
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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, and strength) Contact information for at least two references (name, affiliation, email) Use the subject line “Application – PhD/Postdoc – [Your Name]” and, if possible, combine materials into a single
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describing research / outreach interests and fit with this position (2) curriculum vitae/resume (3) three references (contact only; no letters needed). Working Conditions: Sitting/staring at computer screens
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skills; must be proficient in spoken and written English. The ability to work both independently and collaboratively is essential. Must be computer literate with proficiency and working knowledge
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across specialties, linking clinical care and research; (2) supporting the development of predictive models for dental disease outcomes using structured and unstructured electronic health records; and (3
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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routinely collected healthcare data. Through the analysis of linked electronic health records, you will generate evidence to inform clinical guidelines, optimise prescribing practices and support healthcare