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National Energy Technology Laboratory (NETL) | Naidu Vari Palem, Andhra Pradesh | India | about 19 hours ago
Technology Laboratory (NETL) in the area of CMAA Process Development Goal 3: Breakthrough Advances in Mineral Processing under the mentorship of Mengling Stuckman. This project will be off-site but will be
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trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images. Job description The
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will be conducted in parallel with a sister study in the Canadian Rocky Mountains (a similar position is being advertised at McGill University – see here , Students are welcome to apply to both if they
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invites applications for a fully funded PhD position at ETH Zürich at the intersection of robotics, wearable sensing, signal processing, machine learning, and human-computer interaction. The goal of
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candidate holding a master’s degree or a diploma in electrical engineering, geomatics engineering, geophysics, physics or a related field with a background in digital signal processing and/or image
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Epigenetics, Nutrition and Metabolism and Sustainable Food Processing Group in the Department of Health Science and Technology are running a joint strategic research line on Microalgae and plant-based foods in
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. Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data. Excellent communication skills and keen interest in working in a
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care of mouse colonies and performing licensed procedures as appropriate Supporting experimental studies using transgenic mouse models, including tissue collection and processing Preparing and
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processing, flow cytometry and FACS sorting, neuronal, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and
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Marie Sklodowska-Curie Actions Doctoral Network BlueOcean This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large