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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Context of Job: The Department of Electrical and Computer Engineering (ECE) is looking for a
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). Experience with use of artificial intelligence and machine learning in
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answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in electrical and computer engineering, computational sciences, computer science, informatics, or related
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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experimental and/or data skills are welcome to apply. Experience in computer programming (e.g., Matlab, Python) and neuroinformatics tools is a plus but not required. Previous work with rats and basic surgical
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collections. Responsibilities: Carry out bioinformatic analysis of mammalian genome sequence data and generating novel genome assemblies Use computer software for genome assembly, sequence alignment, and