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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Guided by world leaders, scientists, and entrepreneurs, EIT seeks to accelerate innovation by driving scientific and technological advancements across four humane endeavours: health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation and era of artificial intelligence.
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You can demonstrate experience in commonly used Business Intelligence tools, e.g. Alteryx, SQL, Tableau, Power BI, Business Objects, or other similar tools. , Business intelligence tools, and analytical platforms.
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We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
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Analyze and understand the firm’s global third-party risk management program, and other relevant risk management programs including fraud and artificial intelligence. Analyze and understand the firm’s global third-party risk management program, and other relevant risk management programs including fraud and artificial intelligence.
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The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data.
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Experience in a technical role in the areas of Security Operations, Threat Intelligence, Penetration Testing, Red Teaming, Purple Teaming, Threat Hunting or Incident Response. Bank of America is seeking an experienced cyber security professional to join our Purple Team function within the Cyber Threat Hunt, Intelligence and Defense organization.
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Experience in other security technologies such as: Security information and event management (SIEM), IDS/IPS, Web Application Firewall (WAF), endpoint protection, Sandboxing, network- and host- based firewalls, Encryption, Threat Intelligence, Penetration Testing, etc.
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Acts in compliance with all applicable laws and regulations as outlined in training materials, including but not limited to Bank Secrecy Act. Responsible for reporting suspicious activity to Financial Intelligence.
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The architecture will need to be aligned with standards such as NIST CSF, CSA, FFIEC, OWASP. Responsibilities: Conduct architectural Security control validation testing processes Define security requirements aligned with current threat intelligence and industry standards such as the NIST CSF, CSA, FFIEC, OWASP Review current system security measures and recommending and implementing enhancements.
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Ancillary cost management, Commercial Acumen, Communication, Competitor intelligence, Customer service delivery excellence, Developing and implementing strategy, Influencing, Inventory Management, Negotiating, Supply chain management, Trade discipline and compliance, Trading and scheduling operations, Trading Fundamentals, Sentiment and Trends, Trading knowledge, Troubleshooting.
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As a Sr. Business Intelligence Engineer your primary day-to-day tasks will include working with stakeholders to understand and accomplish their data needs. You will use our BI tech stack (Looker and Snowflake) to deliver business value.
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You will work closely across a distributed security community to evolve and advance cyber threat information collection and analysis processes, develop technical solutions that empower threat intelligence analysts with actionable and relevant threat information, and serve as trusted advisor and partner in shaping cybersecurity operational practices and strategic initiatives based on cyber threat intelligence.
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General understanding of networking, APIs, application security, encryption, identity and authentication, vulnerability management, threat intelligence, insider threats, attack surface, attacker tactics, and be proficient in understanding approved scanning vendor and attestation of compliance reports.
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intelligence job Title: competitive intelligence Company: Snowflake in Chicago, IL
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