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qualifications and examinations on a full-time fixed-term contract, for no. 36 months, at the Department of Statistical Sciences, to provide technical-administrative support for the development of scientific
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discipline SECS-S/05 (Social Statistics). DEADLINE: March 10th 2024, at 1.00 P.M. CET Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUniversità Ca' Foscari
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academic discipline field and with the main research lines of the University, its Research Centers, and the Schools, on themes of Statistics, in particular statistical inference for complex data, parametric
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Description No.1 position for the Department of Medicine, Recruitment Field 06/M1 - HYGIENE, PUBLIC HEALTH, NURSING AND MEDICAL STATISTICS, area:MED/01 - MEDICAL STATISTICS Main Place of employment: Venice
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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The scientific commitment focuses on the statistical theory
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implementation (using common frameworks as Pytorch, TensorFlow, etc.); Proficiency with common programming languages (e.g., Python, Java, C++); Knowledge of (geo)statistics and of geospatial data processing
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» Statistics Economics » Other Economics » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline
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in the epidemiology and modelling of infectious diseases. Its main focuses are: ● mathematical and statistical modelling of infectious diseases transmission; ● epidemiology of emerging infectious
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)molecular investigations on blood samples, mucosa and pathological tissue;d)surgical and/or chemoradiotherapy therapeutic options based on the results obtained;e)evaluation of outcomes;f)statistical analysis
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the development and application of machine learning techniques for direct detection, analysis of cosmological and astrophysical data. Knowledge of Bayesian statistical methods and integration of deep learning