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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 | 13 days agofor combined heaT, poweR, hydrogen fUel and wastewater treatMent”. This workplan aims to integrate a simulation model of a Photoreactor for wastewater treatment into an existing optical-thermal simulation model
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2 Sep 2026 Job Information Organisation/Company Johannes Kepler University Department Department of Particulate Flow Modelling Research Field Engineering Computer science Mathematics Researcher
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higher education institution (In this situation, if the academic degree is foreign, recognition is requested) - The candidate must have some experience/knowledge in implementing Ontology-based models
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; Knowledge of airworthiness, certification, safety assessment, or regulatory compliance processes would be considered an asset; and Knowledge of computational fluid dynamics, aerodynamic modelling, flow-field
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; - knowledge and previous experience in discrete production modelling and simulation; - knowledge and previous experience in physical/robotics modelling and simulation; - knowledge of the circular economy
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FieldMathematicsEducation LevelPhD or equivalent Specific Requirements - Master's Degree (Laurea Magistrale) in Mathematics (LM-40) or in Mathematical-Physical Modeling for Engineering (LM-44); or a Specialist Degree (Laurea
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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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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific field
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, focusing on the application of Operations Research methodologies, models, and algorithms in the context of logistics. Minimum profile: - Completed Master's degree in the indicated areas;, - Solid knowledge
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https