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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event sequences
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collisions applied to Large Hadron Collider (LHC) and/or the Electron-Ion Collider (EIC) and experimental data analysis with ALICE (A Large Ion Collider Experiment) or Stellar Intensity Interferometry (SII) in
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13 Oct 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Other Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 10 Nov
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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, Computer Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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, Ecology, or a closely related field. Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus). Strong proficiency in programming, particularly in