111 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Sweden
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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- 10 Research FieldChemistryYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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30 Aug 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1
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to the Stockholm-Arlanda international airport. For more information about the department visit: https://www.slu.se/en/departments/plant-biology-forest-genetics/ Read more about our benefits and working at SLU by
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. Contribute to optical instrumentation development, data analysis, and integration with complementary microscopy techniques. Investigate nanoparticle behaviour and interactions in complex environments and
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or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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research. Plan, coordinate and evaluate implementation of the support programme in participating regions. Recruit participants and conduct individual interviews, focus groups, workshops and survey-based data
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic