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language; b) Strong knowledge in the application of statistical methods in analytical epidemiology, applied to cohort studies; c) Solid knowledge of Geographic Information Systems (GIS), applied
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
6 Mar 2026 Job Information Organisation/Company Analytical Food Chemistry at Technical University of Munich Department Life Science Engineering Research Field Chemistry » Analytical chemistry
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academic writing (e.g., previous conference or journal articles) Personal qualities Be highly motivated for completing a PhD Be open-minded and eager to learn Be goal-oriented, accurate, analytical and
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
1st May 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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information for PhD admission is available at TalTech´s PhD admission homepage The following application documents should be sent to tatevik.minasyan@taltech.ee using the application form on Academic Positions
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other