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Field
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forest systems.The position offers the opportunity to work across scales and methods, integrating quantitative risk modelling with empirical field data and applied demonstrations to support climate
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methods. The project is deliberately flexible and can be shaped by the candidate’s strengths. Contract terms The position is a temporary full-time employment for two years. The position requires physical
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relevant for free-space links such as multi-aperture receivers, channel modelling and channel characterization. The research is mostly experimental with theoretical and numerical support. Who we are looking
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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19 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Researcher Profile Recognised Researcher (R2
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digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users of the learning resource worldwide. What you will do The research
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2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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are: Doctoral degree in gender studies or another relevant discipline. Documented experience of digital ethnography and ethnographic interview methods. Advanced knowledge of diaspora communities in the region(s
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plan should relate to the theme and research project described above. In your pedagogical statement, please describe your teaching experience and your pedagogical approach or methods. You can find
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healthcare professionals and patients Good knowledge of statistical methods including non-parametric methods Knowledge of user experience (UX) Your employment Employment according to Agreement on Fixed-Term