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- APOS-UFFICIO CONCORSI DOCENTI
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3 Apr 2024 Job Information Organisation/Company Università degli Studi di Enna Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 26 Apr 2024 - 23:59...
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expected to conduct research based on state-of-the-art statistical methods with a focus on finance, and to have a deep knowledge of cutting-edge data analysis methods. S/he will be expected to maintain
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24 Apr 2024 Job Information Organisation/Company APOS-UFFICIO CONCORSI DOCENTI Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 23 May 2024 - 23:59 (UTC) Type of...
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17 Apr 2024 Job Information Organisation/Company Università degli Studi di Siena Department Dipartimento di Ingegneria dell’informazione e scienze matematiche Research Field Mathematics » Mathematical analysis Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage...
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before the amendments given by the Law no. 79/2022, academic recruitment field 13/D1 (Statistics), academic discipline SECS-S/01 (Statistics). DEADLINE: May 2nd 2024, at 1.00 P.M. CET Requirements
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25 Apr 2024 Job Information Organisation/Company Università degli Studi di Milano-Bicocca Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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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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quantitative genetics. The selected candidate will use bioinformatic tools (e.g. bash, R) to manage and analyze genomic data and conduct relevant statistics. This project is carried out within the framework
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Association Studies (GWAS). GWAS test hundreds of thousands of genetic variants across many genomes to find those statistically associated with a specific trait or disease, which is computationally very
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, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs