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machine learning algorithms/data science methods for clinical proteomics data. Further, during the enrollment process, you will define together with your supervisors (main and co-supervisor) additional
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applied research, along with a thorough understanding of the process involved in transitioning from basic to pre-clinical research. Research training periods in another consortium member's lab lasting from
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compounds from seaweed. The goal is to advance sustainable separation technologies through green solvent design and process intensification. As part of the Alliance PhD programme, you will also spend 3–6
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motivated candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low
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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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process Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment process will be open
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, chemical engineering, physics, materials science, or another relevant field. They demonstrate enthusiasm, creativity, persistence, and a sharp eye for detail. A collaborative mindset and the ability
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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between process/system performance, reliability, energy and resource efficiency. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing