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emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain snow-related parameters to constrain the dominant drivers of photosynthesis
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Postdoctoral Research Fellow in machine learning for gene therapy Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow in machine learning for gene
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, The Norwegian Centre for Knowledge-driven Machine Learning (ML), a center of excellence funded by the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and
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understanding of adaptive immune receptor (antibody and T-cell receptor) specificity using high-throughput experimental and computational immunology combined with machine learning. The long-term aim is to
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be employed by any other institution for the time of the fellowship. Experience with AI-related research and/or innovation is an advantage. Experience in machine learning is a requirement. Experience
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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Conserved Binding Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD
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Machine Learning (ML). Fluent oral and written communication skills in English. The position's subject area may require licensing under the Norwegian Export Control Act. In order to be considered
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Postdoctoral position in Natural Language Processing (NLP) is available at MediaFutures in the Language Technology Group (LTG) within the Section for Machine Learning at the Department of Informatics, University
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, cognitive and clinical neuroscience, or neuropsychology. The methodological specialization should focus on AI-related topics other than classic machine learning (e.g., reasoning, knowledge representation