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description] Topic 1: Multi-model ensemble prediction of weather, sub-seasonal to seasonal climate variability (one position). Constructing a seamless atmospheric forecasting system with a large number of
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harmonic generation. The project involves pulse compression in a multipass cell, pulse shaping in both time and frequency domains, beam shaping using spatial light modulators (SLMs), and generation of new
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Denmark (SDU). The position is in an exciting 6-year project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 5 hours ago
, and process modeling; excellent communication skills; ability to work with minimal supervision and prioritize work to meet deadlines; and fluency in spoken and written English. PREFERRED: Experience
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cohorts. Responsibilities include planning experiments and analysing data; handling of human tissue samples; immunohistochemistry and histopathology; RNA and protein biochemistry; spatial proteomics
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resources, a real-time coastal processes numerical modeling framework, and data management and dissemination infrastructure. Job Duties The postdoctoral scholar is responsible for independent and
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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applicant must have professional proficiency in English (written and spoken). Desirable qualifications: Prior experience in working with economic models of migration, residential choice models, and/or spatial