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: • Proficiency with workflow and process automation solutions like Power Automate. • Demonstrated experience with ETL/data pipeline tools such as Azure Data Factory (ADF). • Advanced skills in large-scale
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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secure data platforms Large-scale clinical, imaging, EHR, and omics datasets through DAPHI and institutional collaborations A dynamic, interdisciplinary community of data scientists, statisticians
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of the MGHPCC including governance, data center infrastructure, shared research computing infrastructure, and business operations. The Project Manager must be capable of serving in a variety of roles, including
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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Work Hours: 35.0 Hours per Week Industry: Education Salary Information-Salary to (top of scale): Weeks per year-Weeks per year: 52.00 The role We are seeking a talented and enthusiastic postdoctoral