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Field
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collaborations with academia, industry, and society. The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its
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transcriptomic readouts from cells - already produced, using diverse sequencing methods including long-read nanopore-sequencing with a protocol developed by the group - with of machine learning methods. We aim
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education within a growing area encompassing Data Science, AI, Machine Learning, and its applications. About the research This position is part of a joint collaboration between the two of the largest research
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) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good
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the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while
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Published: 2024-03-26 Postdoctoral fellow in Machine Learning with applications in medicine The Department of Medical Sciences is a large clinical institution with more than 250 employees and over
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also be able to work on machine learning method development. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
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approach and framed as a continuous improvement process, and (3) on machine learning algorithms guided by theory and analogues from natural objects and simulations. The proposed position will cover four
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials