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Field
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magnetic resonance imaging (fMRI) and/or neurophysiological data Development and programming of behavioral and cognitive tasks; animal training and testing Planning, preparation, and participation in
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prototype, analysing metrics of energy consumption, range and user comfort in order to quantify the gains over conventional controllers. Objectives: 1. Investigate existing solutions and identify
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We are seeking a highly motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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research environment to perform collaborative research on mesoscopic physics in Kagome Lattice and vdW 2D systems by magnetic imaging using scanning probe microscopy such as MFM (magnetic force microscopy
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(e.g. with Matlab, Python) Experience with neuroimaging techniques (MRI, EEG and/or TMS). Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc. Experience with
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of optical microscopy, fibre laser optics imaging techniques and lubrication. Your prime responsibilities will be the development of the bespoke version of optical setup fitted on the tribometer, its operation
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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, proteomics, conditional knockout/knockin mice, in vivo and in vitro disease models, and 3D cell printing. Our studies utilize advanced, non-invasive clinical imaging and functional tests (e.g., OCT, OCT
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cross-functionally with control engineers, hardware designers, and system integrators to integrate real-time control algorithms and maintain a robust test bench environment for prototype evaluation