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to work within established research programmes. Applicants will have good quantitative skills and knowledge of statistics including experience of statistical programming software (e.g. R or Stata
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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of extension for a second year. CEMFI is one of the leading Graduate Schools in Europe. We offer highly selective Master and PhD programs in Economics and Finance. All our research and teaching activities
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 19 days ago
brain function during caregiver-child interactions, apply statistical models to examine developmental changes from infancy to toddlerhood and predictive links to outcomes, and finally, develop materials
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, or closely related disciplines. Proficiency in programming languages such as R, SQL, Python, or similar tools is expected. You will be enrolled as a PhD candidate in the world-class PhD program of CentER
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., MD, PhD, MPH, or related programs). The role is entry-level in scope and provides close mentorship and supervision while offering a steep learning curve. The anticipated term for this position is two
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with eye-tracking and LENA systems Experience preparing IRB submissions and managing research databases Interest in pursuing research-related careers (e.g., PhD programs) Applicants are not expected
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Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates
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| Smukler Research Group | Applied Biology Program | Faculty of Land and Food Systems Compensation Range $26.67 - $31.73 CAD Hourly Posting End Date December 25, 2025 Note: Applications will be accepted until
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evaluation of clinical trial methodologies, including adaptive trials, hybrid effectiveness-implementation studies, and advanced statistical modeling approaches. · Support the integration