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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good
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chemistry and greenhouse gas analytical systems (25%), build data management infrastructure, including LIMS implementation (15%), publish synthesis papers integrating findings across network projects (15
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Requirements: PhD in Data Science, Computer Science, Biomedical Informatics or related field At least 3 years of relevant experience in data science or analytics role Strong analytical and problem-solving skills
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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wet chemistry and known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and
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these disciplines. Analytical Proficiency: Demonstrate proficiency in biostatistical analysis, data management, and physicochemical analytical methods, with a preference for candidates who have experience in
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic empirical pavement design