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THE PROJECT SPRITE+ Deep Dive: Neurotechnology and its Implications for Trust, Identity, Privacy, Safety, and Security (NeuroCET-TIPSS). We are recruiting a Research Associate/Fellow to work on this
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researchers and graduate students. Required Knowledge, Skills and Abilities AI/ML Expertise: Strong knowledge of advanced machine learning, deep learning, and AI techniques. Programming Skills: Proficiency in
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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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the Department of Computer Science, and the person is expected to engage in deep collaboration with research groups at Faculty of Science and Faculty of Pharmacy to enhance cutting edge research in the area. The
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related area, with deep knowledge and experience in conducting research in African settings. You will have excellent organisational and communication skills and be an effective and collaborative member of a
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entails teaching responsibilities within automation of synthetic chemistry and high-throughput experimentation. We seek candidates who demonstrate a collegial approach to teaching and a deep appreciation
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candidates who demonstrate a collegial approach to teaching and a deep appreciation for the societal role of university education. As a matter of strategic decision, Department of Chemistry has acquired a
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research projects. Provide training sessions to students and sponsor engineers on technical subjects and research methodologies. Other Duties as Assigned 5% Qualifications Knowledge & Abilities Deep
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ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
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expected to engage in deep collaboration with research groups at Faculty of Science and Faculty of Pharmacy to enhance cutting edge research in the area. The focus of the position is on application and