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, morphological, chemical, physical and mechanical characterization; Knowledge in additive and/or subtractive manufacturing; Knowledge in CAD modelling, Knowledge in computer simulation: • Excellent knowledge – 20
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is a partner for the Alrek Health Cluster, Årstadveien, Bergen, and is supported by the Trond Mohn Foundation related to Complex Conditions and Ageing (CC.AGE). Read more about the project: https
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: The preferred candidate for this position must be able to analyse data from fisheries and/or aquaculture and prove experience from designing, collecting, modelling and publishing such data. Research experience in
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Conditions and Ageing (CC.AGE). Read more about the project: https://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced
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structure for integration into cardiac catheters. Conduct finite element analysis (FEA) to simulate force/strain responses under clinical conditions. Assist in the setup and execution of in-vitro and in-vivo
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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stakeholders and communities across Texas. The solutions we develop will have applications extending far beyond our region, serving as a model for communities worldwide facing similar 21st-century challenges
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modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing questions, in close collaboration with
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for this position must be able to analyse data from fisheries and/or aquaculture and prove experience from designing, collecting, modelling and publishing such data. Research experience in Norwegian or Nordic
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datasets). Develop and apply statistical and empirical models to assess relationships between hourly precipitation characteristics and runoff. Simulate future rainfall patterns using thermodynamic scaling