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. Leads and conducts the research using advanced statistical analyses. Consults on the statistical analyses of MSc and PhD students and mentors them in writing code. Conduct data analysis of the MDI
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-experiment data analysis. Preparation of high-impact scientific publications, project reports, and dissemination activities. Supervision and mentoring of MSc and PhD students, including support in experimental
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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and
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and associated biodiversity. 5. Document research output including analysis and interpretation of all data, maintaining records and databases, and writing journal articles for publication. 6
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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spectrometry; radiopharmaceutical dosimetry with novel agents and/or software techniques; alpha particle RPT radiation biology modeling and analysis of clinical trial data. For additional information on a subset
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Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Admission Requirements a) To be enrolled at a PhD. Curriculum evaluation, individual
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, care and maintenance of laboratory animals, execution of experiments in ageing and behavioural ecology, analysis and processing of behavioural data (e.g., AnimalTA, Toxtract, Ethovion), extraction and
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Position on wellbeing and input-output analysis The Institute of Environmental Sciences (CML) is looking for a PhD candidate to work on a systems perspective on wellbeing to move beyond GDP using input
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the following areas: Metabolomics data analysis, mass spectrometric analysis of biological samples, biomarker discovery and Chemical Biology. Those who have obtained a PhD degree three years prior