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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project
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. October 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be
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Are you keen to advance glycoscience research across disciplines? Do you have relevant research experience in chemistry or biochemistry and a keen interest in developing molecular tools to probe
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systems, and digital twin technologies. The project will contribute to the development of intelligent collaborative machines for next-generation manufacturing systems. What will you be doing? Investigating
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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photocatalyst performance under realistic conditions. This PhD project focuses on developing and integrating high-throughput photoelectrochemical (PEC) screening and photocatalytic system to evaluate
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gammopathy of undetermined significance (MGUS). However, only 1% of patients with MGUS will develop myeloma every year. Despite advances in treatments, myeloma continues to be associated with significant
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
partners. Responsibilities and qualifications Your main focus will be to strengthen the department’s expertise in ultrafast lasers and frequency combs while developing innovative solutions for high
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environmental toxicology, you will have the opportunity to advance Adverse Outcome Pathways (AOPs) and support the development of New Approach Methods (NAMs), thereby contributing to a more sustainable and
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will