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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Institute for Materials Chemistry, Group
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processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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Analytics and Operations Research Details: https://www.science.hr/jobs/216064/research-and-teaching-assistant-phd-… Where to apply Website https://www.science.hr/jobs/216064/research-and-teaching-assistant
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- Familiarity with data visualisation software (e.g. Tableau, R-Shiny) would be an asset - Strong analytical skills - Organisational skills as well as the ability to work both independently and as part of a team
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national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https://op.europa.eu/s/z831 ). Selection Procedure: For the selection
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statutory 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