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: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
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optimization • Experience of multidisciplinary work and collaboration between academia and external partners. • Good programming skills in Python (Pytorch) etc. • Additional knowledge on waste and Near-infrared
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artificial intelligence), exploring future skills, and optimizing equipment management. You will work in close collaboration with major industry partners to collect and analyze real-world empirical data using
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of Clinical Sciences Lund is one of six departments at the Faculty of Medicine. Clinical Sciences Lund cooperates closely with Skåne University Hospital and the Faculty of Medicine in order to optimize
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research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material science, and
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platinum group elements (Ni-Cu-PGE). The project aims to be able to meet the challenges linked to improved ore characterization and its integration in process design and optimization. By using
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circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano-fabrication processes for superconducting devices Automatic bring-up and calibration
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physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional
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federalism; and (v) competition and procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other
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Do you want to work with us assessing different designs to optimize nutrient retention in constructed agricultural wetlands? About the position We are looking for a researcher (on 100%) to work with