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ongoing CoLAB projects. h) Analyzing and producing statistical indicators on tourism and hotel activity. Requirements Research FieldManagement sciencesEducation LevelPhD or equivalent
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the overall problem a challenge, both from a statistical and computational point of view. In this context, artificial intelligence and machine learning offer a great opportunity for the effective quantification
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for characterization of cells (flow cytometry, metabolism, immunofluorescence microscopy); 4)Microscopy image analysis; 5) Data analysis using statistical tools. Proficient use of the English language, both spoken and
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techniques for environmental sciences – information provided in the CV and/or motivation letter; e) Experience in statistical analysis, preferably in an R environment – information provided in the CV and/or
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 23 days ago
in developmental neuropsychology research methods; d) Fluency of both Portuguese and English languages (spoken and written); e) Fundamental knowledge of statistical software (e.g., SPSS, STATA); f
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. Preference will be given to candidates with previous experience in conducting studies in the field of implicit learning using statistical learning paradigms; Proven expertise in experimental programming (e.g
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Requirements: Master’s degree in economics or in life and health sciences. Enrolled in an academic or non-academic degree-granting course. Experience in data analysis and statistics, demonstrated by a curriculum
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WORK PLAN: ………………………………………………………………….……………………….. · Database cleaning and organizing · Initial statistical treatment and regression analysis · Support in the writing of articles
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1 (UMA) BOLSA DE INVESTIGAÇÃO PÓS-DOUTORAL (BIPD) / 1 (ONE) POST-DOCTORAL RESEARCH FELLOWSHIP (PDRF)
additions; Experience in the use of fly ash and glass residue in cementitious matrices; Experience in SPSS, Machine Learning, Python Language and C Language; Experience in generalized linear statistical
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at source and operations related to discounts on compensation; c) Conducting non-nominative statistical operations related to the processing of salaries within the processing entity. 3. The entities referred