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academic record Experience in wet lab work High level of motivation and initiative Communication and teamwork skills Very good written and spoken English skills Data analysis and programming skills
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 20 hours ago
information on patients. The group’s homepage: https://www.skane.se/en/about-us/research/for-dig-som-forskar/center-for-primary-health-care-research/molecular-family-medicine-laboratory/ https
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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encouraged to contribute experimental ideas and analysis methods as well. The postdoc will be involved in experiment design, stimulus creation, participant recruitment and testing, data analysis, writing
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as a model system. Experience in analysis of high throughput data would be a major advantage and a keen interest in ageing research will be vital. In addition to the research role the successful
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany
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spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts. LanguagesENGLISHLevelExcellent Research FieldPhysics
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master's and bachelor's degrees. Fluent English, written and spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts
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, floater, moorings, and cables) and combines them with an advanced robotic hub for inspection and data collection in the marine environment. •Developing data analysis methodologies and numerical modelling