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environmental engineering (candidate status) and a demonstrated record as a lead author on publication(s) using machine learning algorithms to forecast water quality. Fluency with open source coding languages (R
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or hands-on lab environments. Having taken Data structures, algorithms, Theory of computation courses with a good grade Modes of Work Hybrid The work requirements allow both onsite and offsite work and an
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modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational tools who can work alongside current faculty to incorporate
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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of the appointment and a strong commitment to teaching, academic research, and service. PREFERRED QUALIFICATIONS: Research that focuses on artificial intelligence, and teaching interests in algorithmic programming
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication
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skills 3. Professional experience with: -- 3.1. Machine/Deep learning techniques -- 3.2. Novel algorithm development -- 3.3. Secure software -- 3.4. Creating human understandable data from digital
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of SEO as it relates to YouTube Ability to adapt to, communicate and ideate on new YouTube trends, tools, and algorithm shifts Experience using Sprout Social or another social media management and
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will be given to candidates with strong expertise in foundational research on robotics, machine learning algorithms, optimization, and statistics. As a major department with an enrollment of about 1,500