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ageing studies and diagnostic measurements. Familiarity with machine learning and data analysis. Strong programming skills, for example in Python and/or MATLAB, and a strong publication record. What you
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. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
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19 Aug 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 9 Sep 2026 - 12:00 (UTC
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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Information Work Location(s) Number of offers available1Company/InstituteKarolinska Institutet (KI)CountrySwedenCitySolna Contact City Solna Website https://ki.se/en/about/jobs-at-ki STATUS: EXPIRED X (formerly
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org The employment This employment is a
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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD