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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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heterogeneity of their environments. For more details, please view https://idmxs.org/ . Key Responsibilities: Design, prototype, and optimize passive microfluidic cartridges integrating plasma-separation
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for machine learning, generative AI, data analytics, and intelligent decision-making, while advancing the theoretical foundations of quantum-enhanced learning systems. Quantum Algorithms for Optimization and
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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, simulate, and optimize integrated photonic circuits using micro-nano-structured materials for optical processing, routing, switching, and modulation functionalities. Develop and experimentally validate
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researcher will combine thermodynamic modelling, process simulation, and crystallization engineering to enable process optimization and scale-up. The tasks include: Development of thermodynamic models
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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-deposited oxide films, and covalent or electrostatic functionalization (30%); 3. Build and optimize experimental hardware, including optical excitation and collection paths, microwave and RF delivery (30%); 4
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of