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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a
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Qualifications Faculty members in the Department of Human Genetics will need to meet the following requirements: Requirements (essential) Ph.D. Computer Science, Bioinformatics, Biomedical Engineering or
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AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and
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Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is
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ranging from introductory to more advanced topics such as: Introduction to Computer Science and Software Development Object Oriented Programming and Problem Solving Algorithms and Data Structures