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trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
between electrolyte-electrode interface structure and selectivity or efficiency of chemical outcome during the preparation of complex and value-added compounds directly from the readily available feedstock
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position (3 years) on the topic of “Automated machine polishing of complex mould
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Section, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). We look for a talented, self-driven, and collaborative individual with a passion for tackling complex
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working environment. A part of the project is also affiliated with an academic-industrial collaboration and provides the opportunity to study interesting, complex physics, and solve real world problems
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- 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1015--1-4171 Is the Job related
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Engineering Risk and Complexity (MERC) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Mario di Bernardo Contact e-mail: merc@ssmeridionale.it 9. Molecular Sciences for Earth and Space
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eligibility of home fees status are complex and you will need to seek advice if you have moved to or from the UK (or Republic of Ireland) within the past 3 years or have applied for settled status under the EU
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems