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data analysis (sensor integration, data acquisition, signal processing, and indicators based on vehicle–bridge interaction), as well as structural validation in real-world environments through comparison
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disciplines) or equivalent Knowledge and practical experience in hard X-ray spectroscopy methodology (sample preparation and data acquisition) and profound skills in XAS & XES data analysis Experience
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Experience from microbiome data analysis is an advantage What you will do In this role your responsibilities will include: Developing and validating novel dietary biomarkers using metabolomics and
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collaboration with industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing
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optimization and functional characterization of small molecules Integrating biophysical, computational, and cell‑based data Independent experimental design, data analysis, and interpretation Active participation
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cutting-edge research, expertise, and competence building in the humanities and social sciences. More information about WASP-HS: https://wasp-hs.org Duties As a postdoctoral fellow, you are primarily
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proven experience in data analysis of tree and stand data, described in scientific publications and/or thesis. Extra merits are previous experience in design of forest experiments for regeneration or stand
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, extensive data analysis, manuscript preparation for publication, and project coordination in close collaboration with national and international research partners. The position also provides opportunities
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, Norrbotten 971 87, Sweden Subject Areas: Geometric Analysis; Mathematical General Relativity; Differential Geometry Appl Deadline: 2026/01/31 11:59PM (posted 2026/01/12, listed until 2026/01/31) Position
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FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteKTH Royal Institute