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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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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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or TOEFL Submit application to https://www.grk2338.med.uni-muenchen.de Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set
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prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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and molecular function. The project will build on the MDSPACE image analysis software [2], and its application to characterising VCP/p97 dynamics [3], to analyse cryo‑electron microscopy (cryo-EM
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international environment consisting of PhD students, postdocs, teachers and researchers from many parts of the world. Here, research and teaching take place in an open and progressive climate with challenges and
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 17 days ago
vivo near-infrared imaging; Development of oral super-diffusive, insulin-loaded NPs for type 1 diabetes mellitus management, including efficacy testing in a rat or mouse model of the disease
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 30 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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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