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Field
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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with a previous research record in random matrix theory and strong analytical skills are encouraged to submit a covering letter (letter of motivation), curriculum vitae, list of publications, and contact
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11 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Other Engineering » Biomedical engineering Physics » Biophysics Physics » Other
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-assays; engineer orthogonal kinase-substrate pairs and split-enzyme systems; collect and analyze data using techniques such as flow cytometry, RT-qPCR, next-generation sequencing, ELISA, and
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previous research record in random matrix theory and strong analytical skills are encouraged to submit a covering letter (letter of motivation), curriculum vitae, list of publications, and contact
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sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research
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interpreting SANS/SAXS data both within the project and other projects in the research group. Teaching in the first, second or third cycles of studies Supervision of degree projects and doctoral students
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pedagogical and didatic research methods and theories Expertise in quantitative methods and learning analytics for processing and analysing data What you will do Intitiate, plan and carry out practice-based
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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experience with traffic camera video analytics, LiDAR, V2X/connected vehicle data, or micromobility (scooter/bike) telemetry. · Experience deploying edge AI, federated learning, or privacy-preserving