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The lab routinely collaborates across disciplines, departments, and with investigators at other institutions including experts in the fields of health services research, implementation research, computer science, geriatrics, oncology, public health, social services administration, psychology, neuroscience, materials science, engineering and other medical and social science fields.
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In Computer Science, Engineering, Management Information Systems, or a related field of study. Agile Methodology, Analytical Thinking, Anti-Money Laundering (AML), Atlassian Confluence, Atlassian JIRA, Client Relationship Management, IT Financial Management, Leadership, Microsoft Azure, Project Controls, Project Delivery, Project Management, Project Planning, Technology Operations.
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Qualified candidates will have completed a PhD in statistics or in a closely related field (e.g., computer science, bioinformatics, machine learning, mathematics, or other areas where statistical concepts and methods play an important role.
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Preference for at least one of:Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical fieldProgress towards relevant professional credentials (e.g. FCAS, FSA, CSPA.
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Responsibilities:– Architect and code FPGA designs in a hardware description language, producing design documents, performing timing analysis and floor planning, and validating and analyzing designs for errors and efficiency– Research, design and develop custom hardware for its trading teamsQualifications:– Bachelor’s Degree from a 4-year university in electrical engineering, computer science or related technical field.
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AlphaGrep encourages Bachelor's, Master's, and PhD students in computer science, mathematics, financial engineering, and related fields from elite universities to apply. As a Quantitative Trading Analyst, you will apply sophisticated quantitative modeling techniques to predict market behavior and write complex and nimble code used to grow our business and increase the efficiency of the global financial markets.
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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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The successful candidate will benefit from having:A bachelor’s degree, or preferably a master’s degree in a designated STEM field (engineering, computer science, quantitative finance). Strong statistical background and excellent analytical and problem-solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
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Actively enrolled in a Graduate program in Computer Science, Statistics, Data Engineer/ Data Science / Data Analytics, Informatics, Information Systems or another quantitative field.
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BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
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Master's degree in Computer Science, Mathematics, Data Science, Statistics, Economics, Public Policy, Public Administration, Psychology or Education (with substantial coursework in computer science, data science, mathematics or statistics), or, Bachelor's degree in one of these fields plus one year of relevant professional experience.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Automation of the Enterprise Risk management framework for Counterparty risk metrics to gain efficiency Profile required Graduate with a Master degree from an Engineering School or University with a specialization in Financial Engineering, Market Finance or Computer Science.
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Law firm's Chicago office seeks a mid-level Patent Associate that has computer science, computer engineering and / or electrical engineering with 3-5 years of patent prosecution experience.
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Requirements: Bachelor's degree in Supply Chain, Economics, Operations Management, Computer Science, Industrial Engineering, or related field; MBA, Masters, or APICS certifications preferred.
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computer science jobs in Chicago, East-hartford, Connecticut
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