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Field
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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, with software development experience in multiple programming languages, including Python and R. Next generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical
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to work on projects in the modeling of representative democracy. The primary role of these Research Associates will be to anchor multiple research projects in electoral systems (such as ranked choice
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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. Important instructions to applicants are at the bottom of the page. Be attentive when applying as many of our positions require multiple attachments. Please note: each page of the application will save upon
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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Deadline: The position is open until filled Research Opportunities in Statistical Learning at the School of Physical and Mathematical Sciences of NTU Singapore There will be multiple PhD positions available
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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algorithm development; · THz transceivers for high-frequency communication channel measurement and sensing; · Real-Time Digital Simulator (RTDS) and Solar & Wind Emulator for real-time