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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks
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within a Muslim community and demonstrate intimate knowledge of issues affecting British Muslim communities Demonstrate long-term commitment to community/societal development within Britain Show how the
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
two years in that type of grant, whether consecutive or intermittent. Candidates are expected to have scientific and technical knowledge on the following eliminatory parameters: Genomic DNA extraction
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regulatory networks in pathogenic yeasts, with impact on their pathogenesis, in order to strengthen knowledge regarding less well-studied yeast species. From the bioinformatics standpoint, the work will focus
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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. Specific Requirements Preferred requirements: Programming skills, namely in the domain of the R language; Good knowledge in the application of statistical methods applied to analytical epidemiology: survival
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to teaching and sharing their knowledge/approach with the next generation of young scientists by supporting the SNXG scholarship program at Swinburne University of Technology. There are three scholarships in
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demonstrate experience and skills in: a) Knowledge of and experience in the use of qualitative and/or quantitative research methodologies, demonstrable, for example, through co-authorship of publications
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating