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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine
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postdoctoral position under the introduction of Kathlén Kohn . The position focuses on research in the intersection of algebraic geometry and deep learning or computer vision. The position is financed by Kathlén
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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Job related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and
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contact persons, please visit https://datascience.uni-greifswald.de/forschung/projects/behaive/ . Job Description: The postdoctoral research associate in the project ‘Multimodal Behaviour Analysis and
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may also work with one or more Ph.D. students or postdoctoral researchers to accomplish these goals. It is expected that the candidate will publish the results of their work in refereed journals and
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
ensuring integration across academic, clinical, and research missions. The successful candidate will be a visionary academic physician leader with deep experience navigating the complexity of a large