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detectors, and nanofabrication. 3. Strong mathematical and theoretical knowledge of electromagnetic theory, waveguide optics, nonlinear optics, second-harmonic generation, spontaneous parametric down
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research on the design and analysis
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in geospatial data analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and
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Objectives: Build competency in designing and planning science studies, including performance measurement and mixed-methods data collection. Strengthen skills in applying quantitative and qualitative analysis
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population genetics or population genomics. • Experience with bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment
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. We also run an advanced drone lab on behalf of the entire faculty of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations
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Lawrence Berkeley National Laboratory is hiring a DuraMat Degradation Analysis Postdoctoral Fellow within the Energy Technologies and Systems division. The HackingMaterials group has confirmed
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oncology research. The fellow will work under the supervision of Yi Li, with opportunities to collaborate with faculty in the Department of Biostatistics as well as medical and biomedical investigators
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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, combining plasma proteomics with artificial intelligence may enable the minimally invasive assessment of organ-specific biological age and functional decline. This project aims to develop organ-age and organ