247 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" Fellowship positions in Singapore
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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Computational Fluids Dynamics (CFD); Well informed and knowledgeable in CFD modelling; Highly experienced in using environmental simulation tools, such as ANSYS FLUENT, OpenFOAM or other similar programs; Highly
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an intellectually stimulating, globally diverse scientific community. Key Responsibilities • Designing and managing a programme of research to meet agreed objectives. • Working closely with experimental
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an intellectually stimulating, globally diverse scientific community. Key Responsibilities • Designing and managing a programme of research to meet agreed objectives. • Working closely with experimental
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and