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of a research group of Professor Rafal Bogacz, and based in the MRC Brain Network Dynamics Unit, which includes an interdisciplinary community of neurobiologists, engineers and computational scientists
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and networks Expertise in physical layer and MAC layer design for wireless systems Proven track
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, or bioinformatics, together with a strong publication record, excellent communication skills, and a collaborative mindset. For consideration, applicants need to submit a cover letter, curriculum vitae with full
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programming and statistical knowledge, including machine learning A strong academic record Excellent communication skills with a good command of the English language Beneficial skills for this position include
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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evaluation and presentation, preparation of reports and scientific publications Good communication and information behaviour Goal-oriented and structured way of working Initiative / commitment Willingness
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comfortable budget to conduct both project-related activities and activities related to their independent career development; iv) benefiting from the team wide academic and not-academic network, including