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Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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field ? - Experience pressure, vacuum, dimensional and/or temperature metrology, ? - Experience with python programming Application Instructions Please upload the following with your application
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 14 days ago
mechanisms. This will provide training in advanced quantitative methods, spatial data integration, uncertainty assessment, and reproducible coding in R or Python. Qualitatively, the project will use
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systems and basic knowledge in information theory ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in AI‑based attack models and security research The following points
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between technical and professional development. The RSE will be part of the recently established UD’s First State AI Institute (please check out the operational AI Center of Excellence https
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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respect and an independent working style. The position is initially limited to one year. A permanent contract may be possible thereafter. Where to apply Website https://iventajobdata.eu/bestmedia/img
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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technical requirements working knowledge of at least one programming language (C, C++, NodeJS, Python); good knowledge of versioning tools (i.e. Git), Linux environment and programming Preferential technical
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used in research (typically Python, R, JavaScript/React/Next.js, Node) A3 Excellent understanding of best practices in project management for producing reliable software and reproducible analyses