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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
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wrinkles can occur, which cause parts to be scrapped. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation
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. Specifically, we develop small molecule photo(cyclo)addition reactions that allow for the efficient formation of covalently bound reaction products under (visible) light irradiation. Importantly, the thus formed
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materials is still evolving, especially for temperature- and rate-sensitive systems like prepreg. This project aims to address these challenges by developing a suite of deployable tools and predictive models
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families and communities. KWY operates across a range of sectors including child protection, family violence, education, and community development. The organisation is grounded in cultural integrity
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methods, which can struggle to represent underlying soil processes. Your job This project aims to develop a new generation of soil mapping approaches by combining mechanistic understanding of soil formation
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early detection and predict adverse pregnancy outcomes. You will develop and validate a data-driven clinical decision support tool in collaboration with clinicians and industry partners. Pre-eclampsia is