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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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diversity and respect for difference. Our postgraduate courses offer professionals opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
, Veterinary Medicine or in other related biomedical or biological fields; Be enrolled in biomedical or biological sciences PhD Program, preferably with a component of neurosciences; Or: An honor statement
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-based test, 213 points on the computer-based test (TOEFL CBT), or 80 points on the Internet-based test (TOEFL iBT), or IELTS – International English Language Testing Service, British Council, with a
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-performance computing clusters (>105,000 processors). This unique interdisciplinary environment emphasizes the integration of AI in life sciences, offering an outstanding platform for recent Ph.D. graduates
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conducting experiments in both simulation and real-world robotic systems. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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stakeholders. Skill and experience required You will have outstanding programming skills in at least one major computer language as well as expertise in at least one strong mathematical/quantitative or robotics
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning