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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality
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. With strong expertise in programming languages (Python), machine learning frameworks, and deep learning frameworks (PyTorch, Tensorflow), you will have a deep understanding of Natural Language Processing
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-resolution microscopy methods for structural cell biology. In a WWTF-funded project we will develop a new deep learning-based approach to reconstruct a movie of a cellular process from tens of thousands
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environmental risks Experience in data engineering- curating and maintaining labelled training datasets for deep learning. Appointment at Research Associate level is dependent on having a PhD. Those who have
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student This doctoral research project focuses on decoding the regulatory grammar in the RNA that control cell-type specific alternative splicing. Deep learning models are making great advances in society
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. Primoz Skraba, to bridge the gap between topology and deep learning by investigating how stochastic topological tools can be developed and used to systematically analyse, interpret, and improve
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for science, with scalable modern methods, interdisciplinary expertise and industrial-scale computation. A solid background in deep learning is required, including some published work. Expertise in Earth system
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posts Starting date: 24.05.2024 Job description:2 Postdocs in Deep Learning for Earth System Science - Reference code: 50117505_2 ? 2024/KS 2 Commencement date: as soon as possible Work location
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Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and