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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University
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, coordinated by Aalborg University and funded by the EU’s Horizon Europe program. The project aims to improve fiber-to-fiber textile recycling across Europe by developing smarter sorting systems, recycling
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at conferences and meetings. Maintain high scientific rigor while fostering innovation and translational impact. Required Qualifications PhD in yeast synthetic biology, biotechnology, molecular biology, immunology
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with global ramifications. Duties and Responsibilities The successful applicant will undertake computational and other quantitative analyses of public debate in China, Europe, and the United States
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science, nanoscience or similar
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
University, comprising a vibrant research and education environment. The department currently has 75 full time scientific staff, 95 PhD students and a yearly uptake of around 160 students housed in the same