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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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close collaboration between the named academics at Leeds and York, with the student able to commute as appropriate. They will learn practical aspects of sustainable chemistry at each institution
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learning). The project will be carried out in a collaboration between Linköping University (main supervisor: Anders Eklund) and Lund University (co-supervisor: Mikael Nilsson) through an ELLIIT collaborative
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diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise
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developments Work alongside leading colleagues in the field of NDT and Machine Learning (including in collaboration with Prof. Parisa Shokouhi , Penn State, USA). Properly communicate and disseminate your
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, TensorFlow) Mindset Curious, self-motivated, and eager to learn across disciplines. Comfortable working at the interface of wet lab and computation. Collaborative team player with strong communication skills
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high-risk movements during poor network conditions. This predictive capability will help maintain safe and stable human–robot interaction. This PhD project, delivered in collaboration with clinical
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and