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for preliminary techno-economic assessment and integration into prototype direct-lithium-extraction workflows. The project will interface with complementary research on electrochemical clay activation (Bernardino
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the habitability, resource-potential and climate record contained in these mid-latitude debris covered glaciers. The core of the work will be performed using already-acquired orbital images and topographic data from
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PhD position (3 years) Participation in an international research collaboration Access to cutting-edge technologies, including spatial transcriptomics and advanced imaging A dynamic and collaborative
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 26 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque electrophysiology data obtained through
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
of graph databases, prototype systems have shown how property graph views can be defined, materialized, and incrementally updated over underlying storage layers ([Han24]). However, existing techniques stop
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in