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observational sources include data from field campaigns, long-term observational deployments, and operational satellite and radar. The numerical experiments will include large-eddy simulations over large domains
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or machine learning Experience with Swift development and/or strong willingness to work within the Apple development ecosystem Experience in edge AI, model optimization, or deployment of AI models
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independently. Time management skills, with the ability to work on multiple projects concurrently and meet deadlines. Organizational, collaboration, and interpersonal skills. Education and experience: Ph.D. in
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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, clinicians, and trainees. Interested candidates should submit (upload in Workday): a letter of interest describing their research interests and relevant experience; a current curriculum vitae; the names and
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letter of interest describing their research interests and relevant experience; a current curriculum vitae; the names and contact information of two academic referees. Qualifications: Applicants should
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
, and the moral responsibilities of researchers. We are particularly interested in candidates whose work engages with the perspectives and experiences of patients and communities navigating politically
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: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing
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, AUPs, SOPs, and lab notebooks. Qualifications: PhD in relevant biological sciences field of study (neuroscience preferred) Research expertise and hands-on experience with the following: experimental