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fluctuations. Next, controlled time-dependent signals and benchmark optical information-processing operations will be used to compare performance at different distances from the phase transition. Experiments
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solid foundation in empirical research methods and applied statistics; an interest in measuring subjective and patient-reported outcomes; good analytical, organisational and academic writing skills
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” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most
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interactions and microbiome research; an interest in quantitative biology, phenotyping and data analysis; the ability to organise research activities effectively, to communicate research findings to different
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concurrently exploring how age- and sex-related differences in key muscle qualities and force–velocity–power characteristics influence functional capacity, performance, and quality of life. Mechanistic profiling
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to carry out real-world applications in different fields and sectors. Friendly research environments: You will enjoy research phenomena to collaborate with all the many friendly partners and supervisors
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, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State-owned enterprises and private undertakings. This interdisciplinary project follows a mixed
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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2026 Apply now Utrecht University School of Law invites applications for a fully funded, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State
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: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental