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Artificial Intelligence and High-Throughput computations for discovery of novel nanomaterials for clean energy applications for a period of 3 years with a possible extension to 4 years. The PhD research fellow
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational
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both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier
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enrolled in a: PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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students to drive forward a diverse research program focused on machine learning and policy evaluation. The following tasks are designed to culminate in co-authorship on research papers: Plan and perform
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, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment). Strong background in statistical or machine learning methodology, optimization, or high
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CRISPR Perform wet-lab experiments on RNA editing and the ADAR enzymes Analyze data and prepare reports and presentations Write and publish high-impact journal papers Guide graduate and undergraduate
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by attaching their high school diploma. Desired qualifications: background in (at least one) of the following areas: (computational) algebraic geometry combinatorics discrete geometry In the assessment
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning