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Job Description Job Alerts Link Apply now Job Title: Assistant Professor (Electrical and Computer Engineering) Posting Start Date: 17/12/2025 Job Description: Job Description The Department
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Job Description The Research Fellow will be an integral member of Professor Patani's lab, which is dedicated to uncovering the molecular and cellular processes that drive neurodegeneration, focusing
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management strategies aligned with organisational objectives. Analyse business and research needs, identify risks and gaps, and ensure data processes support data-driven decision-making. Collaborate with IT
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) positions are available immediately in the Department of Biochemistry, National University of Singapore, in collaboration with the Bioinformatics Institute (BII), A*STAR, under the AI-based Digital Pathology
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specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research
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) positions are available immediately in the Department of Biochemistry, National University of Singapore, in collaboration with the Bioinformatics Institute (BII), A*STAR, under the AI-based Digital Pathology
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, preferably in Computer Sciences, Bioinformatics, or Life Sciences, or related field of study. Candidates with equivalent experience may also apply Able to multitask and work independently, effectively and a
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domain; Fast CEM algorithms in time domain; High-frequency methods and their hybridizations; Acceleration techniques for fast CEM solvers; CEM based SAR and ISAR image processing techniques; The potential
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applications for the position of Research Assistant. Key Responsibilities: Study and analyze dataflow patterns in emerging data-intensive applications. Design and develop parallel file systems for node-local
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to the following: - Support research in sero-surveillance and mucosal immunity of viral pathogens with a major focus on laboratory work and some minor bioinformatic analyses to generate high-quality research data