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related to the project. Candidate Profile Strong proficiency in software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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. • Solid knowledge in statistics, data analysis, and empirical legal research. • Have completed a PhD less than 7 (seven) years ago, except under the conditions provided for in PR Ordinance No. 171/2024
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industry partners to translate research ideas into robust analytical plans, ensure data are appropriately specified and prepared for analysis, and deliver high-quality, reproducible outputs. The role focuses
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/job/288485/phd-fellowship-in-risk-ma… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers available1Company
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Dortmund, we invite applications for the Multidimensional Omics Data Analysis Research Group: Scientist / Postdoc (m/f/d) You will be responsible for: Development and implementation of a knowledge graph
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graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Further development of your personal strengths, e.g., via a comprehensive
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23 Dec 2025 Job Information Organisation/Company Universität für Bodenkultur Research Field Engineering » Water resources engineering Environmental science » Water science Researcher Profile
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costs will be deducted in accordance with the applicable national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https