119 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University in Singapore
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publish in high-impact journals. Present at top-tier international conferences. Assist PI in writing grants and provide logistical support pertaining to laboratory operation for the project. Job
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of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high quality reports and documents that consolidate research findings
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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fellows. Join us to push the boundaries of clinical evidence synthesis and trustworthy guideline development by integrating artificial intelligence (AI) into these processes. Our mission is to enhance
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are looking for a Research Fellow to support the research projects. The research fellows will work closely with the other institutes to integrate their systems into the processing of fibrous muscles. Key
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the experiments, analyze the results, and publish the results as research articles. Key Responsibilities: Design experimental systems and perform experimental measurements. Process experimental data analyze
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical