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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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collaborative discussions. You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant postdoctoral research experience
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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, can be found here:https://pages.uoregon.edu/ddugger/UOrtg.html . Minimum Requirements • PhD in Mathematics, statistics, or closely related field. • An outstanding record of research potential in an area
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: Doctoral degree (PhD, MD, DrPH, or equivalent) in a relevant field, completed by start date. Strong organizational and project coordination skills. Strong scientific writing skills. Proficiency in
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. This is part of your profile: PhD degree in microbiology/biological sciences Background in microbial ecology and/or microbiome-brain interactions, involving experimental work Comprehensive understanding
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» Statistics Medical sciences » Other Researcher Profile Recognised Researcher (R2) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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transport, urban planning, public policy What you will do Develop conceptual frameworks for mobility service usage Statistical analysis of surveys Qualitative interviews with residents in Gothenburg Supervise