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, and deep generative models (e.g., VAEs, normalizing flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO
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secondary or adjunct appointment in a medical department. General areas of interest include Biomedical Imaging Hardware Development as well as Biomedical Signal and Image Processing of all Biomedical imaging
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metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to mitigate for the effect of sub-optimal and variable feedstock properties and
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the SGSAH PhD community for an online Research Showcase and assist with the creation and promotion of digital content more broadly for SGSAH. The successful candidate will have excellent communication skills
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programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks:The successful candidate will pursue
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP
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, for example, information processing, communication systems or medical imaging. Internationally, quantum technology is divided into three pillars - quantum computation and simulations, quantum communication and
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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of nanomechanical resonators using COMSOL and MEEP Development and operation of laser-interferometric setups under ultra-high vacuum (UHV) and cryogenic conditions for the characterization of nanomechanical