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. - Experience in writing project deliverables. - Proven experience in statistics and modelling to study risk assessment. - Dissemination skills: solid presentation/communication skills, scientific (peer-reviewed
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» Civil engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Knowledges - Data analysis Mathematics: algebra, calculus, differential equations. - Statistics and probability theory
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of the degree of adiposity using NMR and biomarkers. Storage and statistical analysis of data. Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Specific Requirements Ph.D in Medicine
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(bachelor's, master's or predoctoral) Basic knowledge of methodology and statistics applied to research. Oral and written communication skills. Adaptability to changes. Meeting the requirements of Ramon
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statistical physics. IFISC (https://ifisc.uib-csic.es ) is a joint research center of the University of the Balearic Islands (UIB) and the Spanish National Research Council (CSIC), dedicated to pioneering cross
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. Knowledge of statistical analysis. Programming of machine learning algorithms. Interaction with API. Working in a team. English level B2 LanguagesENGLISHLevelGood LanguagesCATALANLevelExcellent
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) (certification by a competent body or Responsible Declaration). Experience in statistical evaluations of results of scientific projects of at least 1 year (it will be valued from 0-2 points: 0.5 pts per year
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and students that will support the research project. -To perform literature review, data collection and management, involving statistical analysis. -To support positioning the Program as a group of
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We will value, but not required Background in science Statistical background What do we offer No. of positions: 1 Estimated start date: 01/06/2024 Contract duration: 18 months Estimated annual gross
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of methodology and statistics applied to research. User computer usage: office, databases, planning tools. Knowledge of Catalan and/or Spanish - read, spoken and written We offer: The selected individual must