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of records (BSc, MSc, PhD)•Other information for consideration (e.g., a list of publications) Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60709003?hl=en Requirements Research
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-Doctoral Associate Mechanics, Statistical Physics, and Disordered Materials About the Job Professor Hudson Borja da
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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the scientific design, oversight, and execution of the study while managing research staff and ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing
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analysis of non-invasive brain stimulation data. Proficiency in statistical analyses of multivariate data sets. About the Department To learn more about the Department of Neurology, please visit https
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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reconstruction - Formatting of results and statistical analyses - Follow-up of literature and improvement/adaptation of techniques and analyses according to research projects - Participation in team and institute
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/Qualifications - Demonstrated expertise in advanced statistical techniques, such as: Multilevel modeling (HLM, mixed-effects models) Longitudinal and panel data analysis Structural equation modeling (SEM) Causal