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optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I
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. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience in biomedical image and
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storage devices; - Implementation of a prototype of the previous system and design of profiling mechanisms that enable identifying complex I/O patterns and the corresponding placement rules; - Experimental
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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three references and their contact information A link to GitHub repos for relevant code (optional) Starting salaries will vary depending upon the qualifications and experience of the selected candidate
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) Prototype evaluation and model optimisation . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. João Manuel Matias. . GRANT FINANTIAL
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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view of multimodal information processing including the development of neural models for language and image using deep learning technology, with particular focus on the Portuguese language; 2
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Apply Now How to Apply Applications should include a CV, a short research statement and names and email addresses for three references. A GitHub repo link for relevant code would be welcome. Please
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time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran