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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis
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should be highly proficient with a range of machine learning approaches, including unsupervised, semi-supervised, supervised, and various deep learning techniques (e.g., convolutional neural networks
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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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hands-on experience in mid-infrared photonics Good written and oral communication skills The ability to conduct independent research is highly desirable. We regret to inform that only shortlisted
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emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities. We are looking for a Research Fellow to carry out quantitative analysis
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to marine electric vessel applications. Design experiments for testing and analyze DC fast charging for high power marine EVs and assess communication integrity at various operating conditions. Test
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for semiconductor lighting, displays, and quantum optoelectronics. Demonstrated ability to publish in high-impact journals and present at international conferences. Excellent written and oral communication skills
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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microscopy, qPCR, and animal handling Familiarity with regulatory standards, good laboratory practices and experience with IACUC protocols Excellent written and oral communication skills, with demonstrated
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networking activities. The successful candidate should: Possess a PhD in international political economy, international relations, political science, or related disciplines; or those with relevant working