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to conduct both research and engineering work, and participate in outdoor field trials. Qualifications The applicant should possess a Bachelors or Masters degree in the area of Mathematics, Physics
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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Engineers to monitor the software development process to ensure we deliver software that is true to functional design, high quality and adheres to standards. He/she manages a QE team that works with
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robotics. A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong
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Job Description The incumbent will provide administrative support to the Department of Mathematics and primarily focus on managing undergraduate matters. This includes, but is not limited
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algorithms from research papers ● Collaborate with external parties ● Develop machine learning models and/or refactor codes for integration into our NLP Bricks ● Be involved in the deployment process
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data science or statistics or mathematics or applied and computational mathematics or computer science or psychology or physics or engineering. Bachelor or Masters’ degree in other fields will also be
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degree, in data science or statistics or mathematics or applied and computational mathematics or computer science or psychology or physics or engineering. Bachelor or Masters’ degree in other fields will
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/gaps and implement improvements proactively Perform data cleansing, data mapping, standardization & data migration activities Provide support in process and data governance documentation Identify