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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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- PDF) Download Additional Information Benefits - The opportunity to work in an interdisciplinary research team combining molecular biology, genomics, bioinformatics, and data analysis. - Participation in
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health. Successful candidates may have experience in electron or X-ray microscopy, image analysis, AI and machine learning, quantitative data science or computational modelling. They will be able to work
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, statistical analysis, and publishing in peer-reviewed scientific journals. For applicants who are non-native speakers of English, the University requires IELTS of 7.0 (with no band less than 6.5
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, or a related biomedical discipline. If you possess hands-on experience in cell culture, molecular biology, or data analysis, that is fantastic—but please note that we do not expect you to master all
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, data analysis, and dissemination of research findings. The project combines perspectives from systemic innovation, integrated care, and health economics. The PhD student will collaborate closely with
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
Key responsibilities include: Designing and cloning DNA constructs for targeted gene delivery; Molecular validation of recombinant constructs, including PCR, sequencing, and expression analysis; Cell
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, or related methods, is also advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary
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-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from