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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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have a passion for the deep-sea and like join expeditions to the Arctic Ocean to explore how deep-sea life is connected to our climate? Do you enjoy working in an interdisciplinary research setting
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
: tyrex.inria.fr Relational learning has recently gained renewed momentum through the development of end-to-end deep learning approaches over relational databases. In this setting, relational tables are typically
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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learning, deep learning, generative AI, AI-enabled molecular design, workflow automation, Linux/HPC environments, or collaborative software development is highly desirable. Hiring Range $60,000 to $63,480
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learning and deep learning techniques, and relevant libraries such as scikit-learn, PyTorch, transformers, LangChain, etc. Familiarity with version control (Git) and DevOps tools (Docker, Kubernetes, CI/CD
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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. The position combines Empa UESL’s expertise in developing and accessing energy system models with the methodological expertise of the IMOS Laboratory in machine learning and foundation models. Postdoctoral
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models