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Field
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within the project, including data collection, analysis, scientific reporting, and dissemination. Supervision of students may be included. The postdoc will primarily work with: • Co-creation and
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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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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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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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, and Brillouin microscopy data as the starting point. Conduct an identifiability analysis to determine which new measurements are needed to separate confounded inputs. Design and interpret experiments
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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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9 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Other Researcher Profile
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existing genomic datasets and enable analysis of gene regulation at cell-type resolution. The project places particular emphasis on ensuring high data quality and developing robust methods that can be
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opportunity to work with whole-genome sequencing data from over 200 A. pullulans strains, isolated from wild strawberries collected from diverse geographic locations across Europe. The work will include pan
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in an intra and inter team fashion is highly expected Excellent communication skills in English are required Strong analytical skills and familiarity with data analysis tools Highly motivated, and able