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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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Nutrition at the rank of research assistant professor. This position is dependent on at least 85% faculty effort on research grants/contracts. The candidate will work in the Neuromuscular Research Laboratory
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spaces using PET analysis Conducting literature review, writing scientific publications, and presenting research results Mentoring student courses in radiochemistry and reactive transport Your profile
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, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
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PhD Student (gn*) Reference Number: 10754 Fixed-term of 3.5 years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Clinic for Radiology / Translational Radiology Group and
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Faculty of Health and Medical Sciences, University of Copenhagen We are offering a PhD fellowship in the Rengtved Lundegaard group in Cardiac Functional Genomics commencing on 1 November 2025 or as
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opportunities for research exchanges and form an integral part of the supportive and stimulating IceLab research environment. Join IceLab to work at the forefront of multidisciplinary science, integrating
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possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 4years full-time, or pro rata for part-time study. The student