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Field
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master's degree in agricultural or environmental economics, applied mathematics, or a related fieldGood background in bio-economic modelling, CGE modelling, and optimization techniquesExperience with
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data management, optimizes processing pipelines, learns new analysis techniques or software packages as they become available. Assists with administrative tasks related to studies. Provides training and
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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changes in the overall national supply chain structures to resilience, and suggest interventions, together with those informed via stakeholder consultation in WP1, for finding optimal solutions to mitigate
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are available. Appointments cannot exceed five years. KEY RESPONSIBILITIES: Synthesize and optimize CNS-targeted ligands and radiolabeled compounds. Develop PET tracers for neuroreceptors, enzymes