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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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While we welcome applications from candidates in all business-related fields, we are particularly interested in individuals with expertise in Artificial Intelligence/Analytics, Sports Management/Leadership, Organizational Leadership, Communication/Journalism, or Accounting.
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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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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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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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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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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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Immerse yourself in multi-dimensional, experiential learning focusing on digital transformation, global intelligence, human skills, business and technology acumen, solution/industry knowledge, and strategy/tools/process.
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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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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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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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Apply machine learning and artificial intelligence in creating applied signal research, portfolio construction research, sustainability approaches, and risk assessment of (new) investment strategies.
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Familiarity with financial software and tools, including enterprise resource planning (ERP) systems, business intelligence software, and advanced Excel skills; TM1 and Peoplesoft experience preferred.
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intelligence job Title: senior business in Chicago, IL
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