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Field
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. Questions: If you have questions about the application process
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. They typically contain a combination of numerical, categorical, and textual data, and are often multilingual. DPPs are still evolving, facing challenges in data processing, handling missing or redundant data, and
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on the awarding of the fellowships. DAAD staff members organize the meeting but have no voting rights. The selection criteria are: Academic qualification Academic performance (general grade point
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criteria PhD qualified in relevant subject area within the last seven years at point of application Expertise in teaching and researching in the Modern History of Britain and the World Clearly defined
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coherent signal conversion across different frequency regimes. · Work within a dynamic team to troubleshoot experimental challenges and contribute to publications in high-impact scientific journals
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. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan
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scientists, from young talents to established researchers, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis
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effectors and their related metabolites that modulate hematologic cancers. The ultimate goal is to understand how environmental signals such as nervous system activities and micronutrients modulate