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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases.
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Applicants must have received a Ph. D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations.
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Apply the scientific method across multiple disciplines to advance Image Science and Computer Vision and develop automated analytics through systematic experimentation. or MatlabPreferred:Experience working within DoD/IC Analysis or Operational environmentsExperience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning toolsARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
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Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.
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The student will implement Python and other programming languages (e.g., MATLAB, R) to prepare and analyze data generated from several characterization techniques, such as differential scanning calorimetry (DSC), thermomechanical analysis (TMA), dynamic mechanical analysis (DMA), and mechanical testing.
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The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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We seek dynamic educators with a passion for computer science and a commitment to inclusive, experiential learning. Deliver engaging undergraduate and/or graduate courses in computer science.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Experience with high throughput sequencing methods and sample preparation, fluorescence microscopy, flow cytometry, lentivirus handling, and computer programming. Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
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Data Internship We offer internships in different data roles including: Data Analyst Intern Data Scientist Intern Business Analytics Your Experience and Qualifications Current student enrolled in an accredited 4-year college or university in Data Science, Information Management, Computer Science, Computer Engineering, or a related field.
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10 years of experience with Masters (M.S.) or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
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r computer science jobs Title: analytics data science intern in Holdrege, Nebraska
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