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Bachelor of Science/ Bachelor of Technology/ Bachelor of Engineering, with a concentration in computer science, information systems, information security, math, decision sciences, risk management, engineering (mechanical, electrical, industrial) or other business/technology disciplines or equivalent work experience.
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With a robust benefits package, collaborative atmosphere, commitment to diversity, equity and inclusion , and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.
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Maintain individual certifications and learning requirements in FMS and Deloitte. Minimum 6 years of experience working in information security and/or technology engineering support experience.
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Actively seek self-improvement through continuous learning and pursuing career advancement. Strong knowledge of operating systems and networking technologies in general. Working experience in security technologies such as: Security information and event management (SIEM), IDS/IPS, Data Loss Prevention (DLP), Proxy, Web Application Firewall (WAF), Endpoint detection and response (EDR), Anti-Virus, Sandboxing, network- and host- based firewalls, Threat Intelligence, Penetration Testing, etc.
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Certified Information Systems Security Professional (CISSP), Certification in Certified Intrusion Analyst (GIAC), Continuous Monitoring (GMON), Certified Ethical Hacker (CEH) or equivalent. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte's clients' most complex issues.
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Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases. A Bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field.
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Education: Bachelor’s degree in operations research, computer science, engineering, mathematics, information systems, management science, aviation, aeronautical, or air traffic management/science.
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Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
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Keywords: Data engineering programming database development dotnet snowflake AWS Python DBT SQL Apache Airflow Machine Learning AI. You will be responsible for establishing and maintaining high-quality data models, data infrastructure, and data science capabilities in partnership with the core tech services team and business analysts that will directly impact critical business decisions.
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Technical backgrounds in engineering and science (e.g., Electrical Engineering, Physics, Computer Engineering, Computer Science, Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, advanced degrees in Biology, Inorganic and Organic Chemistry) are required for patent practices.
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4-6 years of experience in machine learning, artificial intelligence, and data science. As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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Knowledge of electro-mechanical engineering principles such as machine design, actuator and sensors. Programming: Harness the potential of Arduino, Raspberry Pi, and Jetson Nano programming to interface seamlessly with mechanical systems and sensors, enabling the intelligence and autonomy of our creations.
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These positions report to the Program Director of the Business Education Center (BEC) & Math Advising Resource Center (MARC), the Supplemental Instruction Coordinator and/or the Program Director of Writing & Tutoring Center (WTC)/Computer Assisted Lab (CAL)/Cooperative Learning Center (COOP.
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The School is also a key player in interdisciplinary initiatives established within Georgia Tech, such as quantum systems, neuroscience, microbial dynamics, planetary sciences, and data science/machine learning.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Anoka, Minnesota
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