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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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; c) Publications in the area of Chemical Engineering - 5 points, Publications in related areas – 1 point; Publications in other areas – 0 points; d) Knowledge and experience in: i) methodologies
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• suspended sediment • trace elements • microbiological quality This MSc studentship will form part of a larger EPA project entitled AgEValuate which will comprise a team of 2 other PhD researchers
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awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of complex production systems
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enrolled at, UniSQ; • not be receiving equivalent support providing a benefit greater than 75% of the student’s stipend rate; • be eligible to commence or continue a PhD program in April 2026; • attend
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: Engineering and Data Science Admission requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of
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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days agosystems, as well as knowledge of the interaction of radiation with participating media. Duration: The research fellowship will have the duration of 3 months. It’s expected to begin in October 2026
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TEC. 2. OBJECTIVES: - Broadening knowledge of the state of the art in the specific scientific field related to the fellowship; - Developing models and supporting the implementation of multi-aspect use
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15/20 points (3 points), Classification/Average of the master’s degree in Informatics Engineering - lower than 15/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and