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Experience4 - 10 Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLund Contact City Lund Website https://www.lu.se/vacancies STATUS: EXPIRED
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11 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 9 Apr
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, cognitive science, or related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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modelling and analysis is a strong asset. You are proficient working with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI
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require development of advanced experimental and data analysis skills and will work closely with the Doctoral candidate working in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial
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or probabilistic methods Knowledge of risk analysis or decision theory Interest in climate adaptation and sustainable infrastructure Personal characteristics To complete a doctoral degree (PhD), it is important that
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to design their imaging experiments (e.g. choosing microscopy modalities, sample preparation), maximize quality of imaging data, and consult on image visualization and analysis. The director will facilitate
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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics