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Number: R142961 Researcher to function as a technical expert in molecular profiling from human tissue samples; high through-put analysis and genomic analysis of gene expression; plans, designs, executes
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-project events of the SFB Data analysis with content analysis software Scientific publications Requirements: Completed university degree in teaching or education, social sciences, history, or cultural
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position to support HIV grants activities, including projects related to Part D Supplementary funding. The role will focus on data cleaning, analysis, and management; assisting with abstracts, manuscripts
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information form for the applicant (available at: https://ug.edu.pl/pracownicy/strony_jednostek/dzial_kadr ); Curriculum Vitae Copy of diploma; Opinion of the thesis supervisor; Documents confirming
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quality of results - Sea tests of the acoustic deterrent device - Data analysis and article writing The project will take place within the UMR BOREA (Dr. Damien Chevallier, UMR CNRS 8067) in Martinique
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language processing, large language models, and speech analysis to conduct research on building algorithms for early detection of Alzheimer?s disease based on audio-recorded patient?clinician data. Contribute to prompt
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relevant interdisciplinary areas (bioinformatics, biostatistics, data analysis, mathematical modeling, computational life sciences). At least 2 ISI-indexed publications in fields related to the project
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17 Jan 2026 Job Information Organisation/Company UNIMORE Research Field Mathematics » Mathematical analysis Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading
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University of California San Francisco | San Francisco, California | United States | about 15 hours ago
to meet schedules and goals. Identifies risks and responds accordingly. Regularly works on highly complex issues where analysis of situations or data requires an in-depth evaluation of variable factors
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated