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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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for PETRONAS, wider industry and society at large. The position is placed in PACESET. It entails, in the first place, taking already collated project data, identifying gaps, engaging with the various project
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continuous flow of international guests. Equality and diversity are substantial foundations in all our activities. More information about us is available on the website: http://www.chalmers.se/en/departments
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30 Jul 2026 Job Information Organisation/Company Champalimaud Foundation Research Field Neurosciences Biological sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 16 days ago
, as well as supporting large cohort studies. The research scientist position (f/m/x) is embedded within CF-BIOS and you will work closely with the SPACETIME consortium members and the data analyst team
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to detect species in water. The successful candidate will be responsible for collecting field data, organising and analysing datasets (including large datasets), conducting meta-analyses and advanced data
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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8 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Communication sciences » Journalism Computer science » Informatics Researcher Profile Recognised Researcher (R2
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research activities within professional guidelines or organisational policy, applying initiative and independent judgement. E2 Experience curating and analysing large data sets; applying bioinformatic and
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programming for research. (Required) Experience in data management, cleaning, and linkage of large healthcare datasets (experience working with administrative healthcare claims data (Medicare, Medicaid