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Experience with application architecture stacks, including API layer, business logic, data modeling, hosting, network and UI/UX. B.S. in computer engineering, web development, computer science or equivalent experience.
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We are seeking an active, hands-on, Software Engineering Manager who is passionate about the successful deployment of commercial systems employing deep learning and computer vision. Bachelor or Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Math, or Physics.
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REQUIRED : Ph. D. in computational biology, computer science, bioinformatics, physics, engineering, or a related field; strong programming skill in Python, R, MATLAB, or C/C. Will play a critical role for a large NIH UM1 center aimed at mapping the human and non-human primate brain atlases using a state-of-the-art technology pipeline consisting of tissue processing methods, molecular probe labeling, volumetric optical imaging, and novel computations 3D image data processing and analysis; undertake engineering design, development, and testing of image processing algorithms and quality control in support of new specialized research instruments.
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Experience with, or willingness to learn, computer programming platforms (Python, R, Matlab, OpenSees, etc.) Your primary role will be to work with our growing Catastrophe Engineering and Analytics (Cat E&A) team to refine BHSI's engineered view of the catastrophe risk for individual property assets, and for buildings of various vintages and structural systems, and to assist with catastrophe risk evaluations of individual property insurance customer accounts.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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Hands-on professional programming experience across power industry and power trading is a big plus. Net, Java or comparable programming environment using modern data structures, analysis, and visualization tools (Pandas, NumPy, Scikit-learn, Highcharts, etc.
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Pursing Ph. D or Master's degree in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general. Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
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Computer and Information Science, Computer Applications, Computer Engineering, Forensic Science, Management Information Systems. Programming Languages such as Python, and PowerShell Demonstrates experience with at least one of the following tools including: X-Ways, Rekall, Volatility, EnCase, Remnux, IDA, Capture.
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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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Currently pursuing Bachelor’s, Master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
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Experience with Python, R, SAS or other statistical programming language. A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Biological Sciences, Biology, Biomedical Research, Cell Biology, Communication, Computer Programming, Computer Science, Conference Planning, Convolutional Neural Networks (CNN), Data Fusion, Data Research, Genomics, Life Science, Molecular Diagnostics, Proteomics, Research Development, Research Management, Scientific Publications, Scientific Research, Software Prototyping.
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Strategic Advisers is looking for a Sr. Quantitative Portfolio Analyst to join our Quantitative Model Management group within our Portfolio Engineering organization. The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research. Experience with any of R/SAS and experience programming in VBA, SPSS, MATLAB, JAVA, Tableau, Qlik or other related tools.
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