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between pollution control efficiency, electrochemical yield, and energy recovery potential; • Develop coupled electrochemical and hydrodynamic models to predict process behavior; • Participate in
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generative models to simulate experimental devices and how they can be combined into heterogeneous networks. These models will allow us to use inverse design techniques to optimise network composition and
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 20 hours ago
process, contact [email protected] . After you have submitted an application in Zintellect, you may reach out to [email protected] to request to talk with the hosting researcher if you would
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experience in modeling (60%); b) Experience in participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira
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. Akbarzadeh, Bioresource Engineering Position Summary: Design sustainable 3D-printed architected materials using computational and data-driven methods, conduct modelling and 3D printing, mentor HQP, and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Application Deadline 31 Aug 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status
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—from the human body and electronics to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic
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characterisation, thermal processing of egg or dairy products, or allergenicity assessment methodologies such as ELISA, immunoblot, or in vitro digestion models. Strong practical research skills in analytical
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transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g