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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food
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datasets. By integrating data-driven insights with innovative modeling, this interdisciplinary project aims to enhance our understanding of vulnerability, resilience, and adaptation, ultimately informing
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collaborative manner. Conducting interviews, workshops, and collecting case study data, translating the case observations into analytical representations, writing and presenting high quality papers, and being
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chemistry and technology to molecular- and data- driven nutrition. In food science, we focus primarily on marine and plant-based food systems with the goal to promote high food quality, minimize losses
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Keen on exploring the force of light and develop tomorrows technologiges for contact-free particle manipulation for biotechnology and beyond? Information about the project This postdoc position
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collaboration with the group led by Asst. Prof. Gina Panopoulou. This includes code development, analysis and interpretation of data, writing manuscripts for publication and presenting work at relevant
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communication skills and fluency in written and spoken English Meritorious experience and skills Experimental research related to deterioration mechanisms, particularly reinforcement corrosion Data and image
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills