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with an impact factor above 10. You must have shown a high degree of publications within the last three years. You are expected to have shown the capability to manage several complicated research
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for Energy Demand Flexibility in Buildings”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, and
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, which aims to revolutionize solvent-based capture by developing an AI tool to screen over 1 billion solvent formulations. Top candidates will be selected based on performance criteria such as absorption
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approval, and the candidates will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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to develop next-generation soft robotic grippers with integrated sensing for use in automated biological laboratories. The grippers should be capable of handling irregular, soft, and fragile lab items
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technology, positioning your career for long-term success and global scientific impact. Your primary role will be to pioneer and optimize advanced electron-beam lithography techniques to demonstrate reliable
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inhibitor candidates with high predicted affinity and selectivity. These designs will then be experimentally validated through a combination of affinity binding assays, enzymatic activity measurements
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educational development. Our section is diverse in culture, nationalities, and career paths from both industry and academia. This PhD project will be in collaboration with the Business Development section
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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness