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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
Infrastructure? No Offer Description Applications are open for 1 Post-Doctoral Research Fellowship, within the framework of project/R&D institution (Advances in Spectral and Shape Optimization/Center
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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publications. Responsibilities include: Development of new experimental approaches and implementation, optimization, and modification of existing laboratory procedures and protocols to address research
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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20 Mar 2026 Job Information Organisation/Company Institut Jozef Stefan Research Field Environmental science Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline
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determine the associated fitness outcomes. Your Profile PhD in Behavioral Biology or a related field e.g., Cognitive Sciences Experience in conducting observational and experimental studies with wild