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15th February 2026 Languages English English English PhD Research Fellow in Mathematical Modelling of Adrenal Gland Steroid Biosynthesis (DC12) at the University of Reading, UK (ENDOTRAIN) PhD
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Medicine Secondments: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn
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4 Dec 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering Computer science Mathematics Physics Researcher Profile Recognised
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University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We are seeking highly motivated candidates with: Medical Degree (MD) Interest in research
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approaches. Qualifications and personal qualities: Required: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial
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profiling technology Integrate and analyse multi-modal data (hormones, wearables, questionnaires). Collaborate with mathematical modellers to interpret findings. Disseminate results through publications and
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of the mathematical models of the patho-physiology and PK/PD of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment
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with a strong mathematical and data management component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge
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mathematical modelling of hormone rhythms. Qualifications and personal qualities: A medical degree (MD) is considered an asset A strong interest in translational endocrinology and omics technologies Excellent
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with the project advisors. A final plan for the implementation of the research training must be approved by the Faculty of Mathematics and Natural Sciences within 2 months after the candidate has commenced in