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Field
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skilled professionals in a pool of doctoral and postdoctoral fellows to provide specialized solutions to optimize production and preserve the environment. ABOUT ASARI The African Sustainable Agriculture
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Conference in the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking
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karol.horodecki@ug.edu.pl Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Specific Requirements Requirements: 1. PhD degree in
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 16 Feb 2026 - 14:00 (Europe/Athens) Country Cyprus Type of Contract To be defined Job Status Negotiable Is the job funded
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project on the development of smart optical sensors for environmental monitoring in the oil & gas industry. Our photonics research lab has set modern tools for the design, testing, and optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive