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Responsibilities: Develop and optimize synthetic routes for redox-active and conductive MOFs. Investigate the electrochemical performance of these materials under diverse conditions and in various energy storage
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the Portugal 2030 Program (PT 2030) under the Regional Operational Program for the Center (CENTRO 2030) and by the European Union through the European Regional Development Fund (ERDF). The project will be
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and implement robotic control systems Optimization of formulation for UV 3D printing / direct ink writing 3D printing Contribute to ongoing soft robotics research Design and prototype using CAD software
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wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Your employment contract is
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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predictive diagnostics, personalized medicine, and clinical trial optimization, while collaborating with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with
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active seniors "Hjem-jobb-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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closely connected with applied research and industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent
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. Based in North Bethesda, MD, the IHC optimizes computational and analytical methods to build a learning health system for improving the health and quality of life of the citizens of Maryland. Key foci