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BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 141110 Where to apply Website https://vrain.upv.es/ Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD position will be hosted at the Department of Mathematical
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university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at
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algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
reports, and contributions to knowledge transfer What is offered to you: Participation in challenging and innovative projects with high impact and value creation for industry Opportunities for personal and
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criteria: - Criterion 1 – Absolute merit of Curriculum Vitae (50%) - Criterion 2 – Specific knowledge related to the work plan (30%) - Criterion 3 – Adequacy of the candidate’s profile to the work plan to be
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of projects focused on economic or related issues are an advantage, knowledge of Czech and English at the level of min. B2, knowledge of another world language is an advantage, positive, independent and
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countries (HIC). The airm of this PhD project is to understand how E. coli colonization contributes tot he risk of diarrheal disease and infections with AMR and use this knowledge to design interventions
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: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired basic research