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17 Jul 2026 Job Information Organisation/Company CNRS Department Institut de Biochimie et Génétique Cellulaires Research Field Chemistry Physics » Biophysics Biological sciences » Biological
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the initial phase of the project, the theory–experiment feedback loop will be developed using an existing experimental platform whose operation and associated data-analysis methods are already well established
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experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
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the recruitment of participants, MRI and behavioral data acquisition, data curation, data analysis and publication of the results. There are no formal teaching requirements. Additional responsibilities include
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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rehabilitation services. Potential methods may include: Evidence synthesis, including systematic reviews and/or meta-analyses Analysis of routinely collected health data, observational datasets, or patient
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Potential, among others, as well as in data analysis and the preparation of scientific documents. (punctuation: 60) Item 03: Interview. The interview will only be held for candidates who achieve a minimum of
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the economic analysis of health and health care. It has the highest concentration of economists working in health in the Asia Pacific region and the largest Health Economics PhD program in Australia. As an
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of expertise Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn than what you currently know. PhD or other research
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms