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independent neuroimaging analyses using structural, diffusion, and resting-state functional MRI data. Design, implement, and optimize data preprocessing and analysis pipelines. Integrate multimodal datasets
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management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity of Magnetic Resonance Imaging (MRI). Building on the various contrasts
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into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities
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preclinical models. The work will include: Developing and optimizing radiochemical labelling protocols for nanomotor formulations. Performing quality control, stability, and dosimetry studies of radiolabelled
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Immunopathology Group, led by Dr. Francisco Borrego, to work on the project PID2024-162509OB-I00, entitled: "Cytokine-induced universal memory NK cells for cancer immunotherapy: strategies to prevent rejection and
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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. Your work will focus on the support of observations with the LBTI, SHARK-NIR, and SHARK-VIS instruments and the scientific exploitation of their uniquely complementary capabilities. Throughout your
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industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks You will contribute to both teaching and research in the Automation & Control section. On the research
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in such materials. You will play a central role in imaging ferroelectric domains in a new class of 2D ferroelectrics using state-of-the-art cryogenic micro-spectroscopy techniques. This work involves
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capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of Batteries Sweden (BASE) and with