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: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL
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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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Department of Energy and Environmental Protection (CT DEEP), related to air emissions, regulated building materials, water and land use, and water discharges and provide guidance to project teams, facilities
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. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating
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-focused education, research, and knowledge transfer. Areas of particular interest include language science and technology, neuroscience and health, language teaching and learning, and Chinese history and
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Alabama and collect pilot data to support larger subsequent research proposals. A carefully assembled team of mentors with deep experience in mentoring and collective expertise across all of the domains
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, IEEE INFOCOM 2020 [12] D. Bega, M. Gramaglia, M. Fiore, A. Banchs, X. Costa-Perez, DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning, IEEE INFOCOM 2019 [13]https
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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. We are committed to providing affordable, high-quality education with a deep commitment to diversity, equity, inclusion, and social justice. Infused with the principles of Universal Design for Learning