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Developing novel statistical tools to improve the power to identify disease gene association by integrating epigenetics and xQTLs to GWAS. SKILLS & COMPETENCIES REQUIRED: The ideal candidate should have received (or expect to receive soon) a , biostatistics, genetics, computational biology, bioinformatics, computer science and/or related field.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and One (1) year of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics.
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Bachelor's degree in computer science, information technology, business management, or a related field or extensive (5+ years) experience with full cloud software. Graduate STEM degree in Bioinformatics, Computer Science, Biology, Biochemistry, Engineering (some combination of formal biology and computation preferred.
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Master's or PhD preferred degree in Robotics, Computer Science, Electrical Engineering, or a related field. Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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PhD in in computational biology, bioinformatics, systems biology, biological engineering, data science, statistics, computer science, biology, chemistry, physics, or a related field (PhD students in the last year of their thesis work are eligible to apply.
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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus.
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Bachelor’s degree in environmental science, natural resources, wetland science, soil science, ecological sciences, or related field preferred. VHB’s growing Natural Science team is looking to add a Senior Environmental Scientist/Project Manager.
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PhD degree in computer science, information science, computational linguistics, biomedical informatics, data mining, to cutting edge research in the field of health natural language processing such as temporal relation extraction.
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Position requires a Bachelor’s degree in Finance, Computer Science, Engineering Management, or other related field plus five (5) years of experience in the job offered or five (5) years of experience as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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The ideal candidate should have received (or expect to receive soon) a Ph. D. in statistics, biostatistics, genetics, computational biology, bioinformatics, computer science and/or related field.
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MSc/Ph. D. in Computer Science, Robotics, Electrical Engineering, Physics, Mathematics or a related technical field with a significant component of computer vision and machine learning in the curriculum/research.
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To manipulate data and draw insights from large data sets A drive to learn and master new technologies and techniques Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field or commensurate experience Benefits: BlueWave provides employees with a robust benefits package, including unlimited paid time off, dedicated volunteer days, cell phone reimbursement, summer Fridays and 13 paid holidays.
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field computer science jobs Company: Tesla in Boston, MA
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