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with contemporary physiotherapy leads to a statistically and clinically meaningful reduction in self-reported pain intensity compared to (1) a plant-based diet alone and (2) physiotherapy alone. By
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estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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journals. Collaborate closely with researchers across three research lines: (i) ESM methodology, statistics, and meta-science, (ii) Person-environment interactions in psychosis, and (iii) Development
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statistics and an interest in further developing methodological and statistical skills. Excellent verbal and written communication skills in Dutch and English. High motivation to collaborate with
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no earlier than 01/03/2025. Basic programming experience and good statistical skills. A high-level analytical capability and an inquisitive mindset. Ability to define research goals and design an experimental
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classifications, infrastructures, and everyday encounters in and around official statistics and related data initiatives. The overall project combines historical/archival research, qualitative fieldwork (interviews
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molecular biology, cell biology, biochemistry, biomedicine, medicine. Basic programming experience and good statistical skills. A high-level analytical capability and an inquisitive mindset. Ability to define
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to be submitted) The ability to work with databases, excel, and statistical packages are a necessary skill The research needs to result in a doctoral degree An excellent command of English (reading
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, GC), and process modelling. Experience in experimental design, parameter optimisation, and statistical analysis is valued. Further, all MSCA-DN specific eligibility conditions apply: Mobility rule. Not