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Call for proposals The NOMIS Foundation and the Institute of Science and Technology Austria (ISTA) have launched an interdisciplinary basic research program for exceptional postdoctoral scientists
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, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field. Description: This is a full-time postdoctoral fellow position in a neurobiology laboratory
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work alongside renowned academics and researchers in ENU’s School of Computing, Engineering and the Built Environment. If you are someone with expertise in multimodal speech processing and AI algorithms
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a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research
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technology enablers and policy consequences for wireless users, vendors, spectrum managers and spectrum regulators. The successful candidates will carry out research for the JOINER (https://joiner.org.uk
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
high-impact practice Engage with regional communities in the development of community-led flood intelligence networks Position overview This fixed-term position will be based at the School of Art and
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thematic networks: Governance, Economy, and Social Impact; Health, Environment, and Resilience; Advanced Engineering, Materials Science, and Smart Manufacturing; Creative and Cultural Digital Futures; and
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference