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Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.) VP, Data Science RWE | Top 5 Pharma.
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Master’s Degree preferred (preferably in Computer Forensics, Computer Science, Computer Security, or Information Security) AND three (3) years professional digital forensic experience.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Tenable training and CISSP strongly preferred but not required Completed Bachelor’s degree with Computer Science or related (math, engineering, Endpoint management and best practices: McAfee AV, Carbon Black, and LogRhythm Good Project Management skills Some related Palo Alto Firewall administration (Panorama), network security, operations and management best practices preferred Understanding of network design, infrastructure, Active Directory and Group Policy Knowledge of enterprise patching / updates is a must Some related scripting skills (Python.
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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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The Advanced Science Research Center (ASRC) is the Graduate Center’s University-wide venture that elevates CUNY’s legacy of scientific research and education through initiatives in five distinctive, but increasingly interconnected disciplines: environmental sciences, nanoscience, neuroscience, photonics, and structural biology.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Elevate Your Patent Career: Unique Opportunity for High Tech Patent Agents at Top Law FirmAre you an experienced EE/CS Patent Agent with a strong foundation in electrical engineering, computer engineering, computer science, electromechanics and/or physics.
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Qualifications Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent; Proficiency in at least one modern programming language, including Python, Java, C/C.
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computer science jobs Company: Curve Biosciences in New York, Lexington, Massachusetts
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