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innovation with clinical relevance and real-world impact. Postdoctoral Researcher Explainable AI and Foundation Models for CT Imaging Our goal: To develop and validate novel AI methods that enhance
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. We develop chemical tools to investigate these interactions to understand health and disease. The project will focus on advancing approaches in deciphering biomolecule interactions, chemical
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Dr. Luca Incurvati (Principal Investigator). Intensional notions such as those of property, content, proof, possibility and necessity are central to philosophy, logic, mathematics and linguistics
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the Utrecht Geometry Centre. Your qualities We are looking for a curious and collaborative colleague, with the following qualifications: a PhD degree in mathematics, with a focus on algebraic geometry
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
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, for example at the Faculty of Science through the Leiden Complex Network (LCN2) and nationally through the Dutch Network Science Society. The candidate will be asked to engage in (limited) BSc, MSc and PhD
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://www.universiteitleiden.nl/en/staffmembers/laura-heitman#tab-1 at Leiden University! What you will do Project objectives are: Develop expression and purification methodologies for GPCRs Develop and optimize affinity selection
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in September 2026. Job requirements You hold a PhD with a focus on experimental fluid mechanics, for example in aerospace engineering, mechanical engineering, or applied physics. You have proven
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager
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for check-up and the taking of a blood sample. This is not only burdensome for the patient but the lab analyses are time consuming and expensive. In this project we develop a smart armband which analyses