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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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cell-derived tissue models for corneal regeneration through state-of-the-art (single-cell) multi-omics analysis. You will collaborate with other doctoral candidates in STEM-CORE through joint projects
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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processes that facilitate the educator-role of citizen collectives in different cooperative settings. By exploring these dimensions, our project aims to foster a more participatory and democratic society
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You will work closely together with fellow PhD students at the AI for Parkinson lab at the Radboudumc Center of Expertise for Parkinson & Movement Disorders . Supervision will be provided by Dr. Luc
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the center. Together you will pursue different applications and explore different AI methodologies. The PhD candidate will be supervised by Professor Edmund Førland Brekke. About the project About the
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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(<1 m rise by 2100) versus a higher-impact “storyline” (>1.5 m by 2100) (IPCC, 2021). Beyond 2100, divergence grows, with multi-meter rise possible, reaching ~15 m by 2300 under the higher storyline
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agricultural systems. You will analyse the relation between different combinations of service crops and their effect on ecosystem services. You will do this in part with a Danish counterpart by making use
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, companies and governmental agencies in the center. Together you will pursue different applications and explore different AI methodologies. The PhD candidate will be supervised by Professor Edmund Førland