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Field
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fabrication of novel knitted structures embedded with energy-harvesting yarns. You will be expected to: Apply fundamental understanding of material–structure–function relationships in knitted fabrics Overcome
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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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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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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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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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. 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
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mid-infrared light source. The successful candidate will work closely with the Reporting Officer and his team to design and build a compact system that generates femtosecond pulses in the mid-infrared