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Biology: Development of deep learning, graph neural network, generative AI, and RNA foundation models to analyze large-scale omics, spatial transcriptomics, ribonomics, and imaging datasets. Application
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. The successful candidate can expect to teach 4 courses per year (2 per semester) at the lower- and upper-division undergraduate and graduate levels. Our department has particular instructional needs in graduate
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Develop and evaluate deep learning or related AI methods that adjust BGC productivity, physiological parameters, and ecological terms within a process-based BGC framework while maintaining physical
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candidate with: A PhD degree in Computer Science or a closely related field A research track record in Artificial Intelligence, with an emphasis on machine learning and an openness to interdisciplinary
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in machine learning, computer science, computational biology, statistics, or a related field.Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).Experience developing AI
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custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Deliver
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medical image analysis. Good communication and organizational skills are essential. Experience with deep learning and programming, preferably in Python, are required and should be evident from the (online
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professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring
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insurance options; TIAA retirement plans; generous vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu
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the next generation of European chip companies to succeed. It offers the unique combination of: Direct impact on Europe's semiconductor future. Daily interaction with ambitious deep-tech startups. Exposure