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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new
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Engineering. Admission requirements: Candidates must cumulatively meet the following requirements: Requirement 1: Be enrolled in a PhD programme in Data Science and Engineering; Electrical and Computer
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fellowship under the project “Unlocking Organoid Potential: Integrating Comparative Transcriptomics, Culture Condition Optimization, and Vascularization Strategies” with the funding support from Fundação para
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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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: Holders of a Master's degree in Mechanical Engineering or related areas who are PhD students in Sustainable Product and Process Engineering. . DURATION: 12 months, eventually renewable. The fellowship is
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Management (Sustainability or ESG); Excellent oral and written communication skills in
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the team of the NAMIC Project for 3DP Ship Hull Design. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed Ship Hull and Connector System
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beamline Publish results in scientific journals and present findings at international conferences Where to apply Website https://apply.refline.ch/673278/3854/EL6dzSlLCLf7qHjFYjOSmL8NTV0nuikWIOXeIbXpRu