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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 2 hours ago
(e.g. geometric deep learning, generative models, representation learning) to decode molecular physiology, pathology, and therapeutic design? Are you passionate about high-throughput biology and scalable
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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, significance, and ethics into all course content, and deep commitment to engaging students beyond the classroom. FACULTY RESPONSIBILITIES Faculty members typically teach 24 semester hours per academic year
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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the position of: Lecturer for the Module M06 'Advanced Deep Learning' 10 ECTS (18%) Start date: August 1st, 2027 Module completion: each autumn semester (beginning of August to end of January) Description
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 10 hours ago
cleaning, denoising, and prediction, including approaches based on statistical machine learning, deep learning, and Transformer architectures. Perform signal analysis in both the Fourier (frequency) domain
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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hours and some may require evening and/or weekend hours. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college