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Field
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and support all aspects of the research project. Carry out algorithm development and data analysis, including (but not limited to) single-cell and bulk transcriptomics, spatial omics, proteomics, and
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functions related to research under the supervision of the Principal Investigator or her designate, including but not limited to the following: Conduct accurate monitoring, documenting and reporting
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC
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. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
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to classify communicative frames, linguistic features and influencer styles at scale. Contributing to annotation, validation, survey experiment analysis, reproducible code, academic outputs and stakeholder
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recruitment to a range of research studies including PCCT components and also undertake data analyses tasks, such as spectral decomposition analysis to determine PCCT’s value in detecting a range of
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
sustentabilidade e eficiência de produto 1. Duração e Regime de Atividade: Duração de 12 meses, início previsto para julho de 2026, eventualmente renovável até ao limite máximo permitido pela regulamentação
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, supported by mentorship tailored to their interdisciplinary goals. Successful applicants have demonstrated an interdisciplinary training plan through various approaches, including (but not limited to): Co
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 5 hours ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
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skills in, computational approaches to qualitative or quantitative data analysis. Proven commitment to proactively keep up to date with discipline knowledges and developments relevant to the research