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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is preferred; Experience with performing and/or designing
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steelmaking more resilient through feedstock upgrading, flexible mix design, AI-supported process steering, and valorization of EAF slags. The PhD candidate will contribute to understanding how future changes
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into valuable aromatics and specialty chemicals. In this project, you will design and study catalytic processes that upgrade complex phenolic mixtures into targeted products using advanced bifunctional catalysts
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Technology Institute Groningen (ENTEG). The project aims to address timely challenges in the analysis, design, and operation of complex socio-technical systems, such as energy and transportation networks. What
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strong integration of technical developments with clinically relevant research questions. Tasks will include: Designing and conducting feasibility studies, including study design and protocol development
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through publications and presentations. Your main tasks and responsibilities include: Designing, implementing, and evaluating computational models using contextualized word embeddings and LLMs to track
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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following 'Need-to-haves': MSc in Chemical or Environmental Engineering, Systems Microbiology, Computational Biology or Bioinformatics, or a closely related field. Demonstrable laboratory experience and a
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of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures
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challenges. Designing the next generation of aircraft, spacecraft, and propulsion systems requires numerical simulations that are both more accurate and computationally more demanding than ever before. While