9 postdoc-computational-fluid-dynamics PhD positions at Mälardalen University in Sweden
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agrivoltaic systems on solar radiation distribution, microclimate, soil moisture and crop productivity. One area of research that we aim to further develop is the use computational fluid dynamic (CFD
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computer vision, chemometrics and aquaphotomics. These algorithms will be used to develop soft sensors to enable real-time phenotyping and water quality monitoring, with the eventual goal of utilising
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eligibility, the following is required: A degree at an advanced level. At least 240 higher education credits, of which at least 60 are at an advanced level in computer science or related discipline Equivalent
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trustworthiness of AI systems, particularly in critical environments. In trustworthy AI, we aim to develop computational solutions for AI systems that meet the requirements for trustworthiness and gain society's
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opportunity for mathematics enthusiasts to take part in a dynamic environment in mathematics, including applied areas such as finance and engineering. We are now looking for five to six PhD students in
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eligibility requirements include having one of the following: Completed a Master of Science in Engineering in a relevant technical field Completed a four-year natural science program with technical content
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Science in Engineering in a relevant technical field Completed a four-year natural science program with technical content equivalent to a Master of Science in Engineering Acquired knowledge of substantially
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one of the following: Completed a Master of Science in Engineering in a relevant technical field Completed a four-year natural science program with technical content equivalent to a Master of Science in
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of Science in Engineering in a relevant technical field (for example, in energy engineering, electrical engineering, technical physics, energy systems) Completed a four-year natural science program