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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development’s machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development.
$355,410 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Master's or Ph. D. in Computational Linguistics, Natural Language Processing, Computer Science, or a related field. Experience with statistical modeling, machine learning techniques, and deep learning architectures for natural language processing tasks (e.g., sequence labeling, machine translation, sentiment analysis.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Deep Learning and Computer vision. 2) Data Science/Machine learning track. Difference between Machine learning, Artificial Intelligence and Deep learning.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
$89,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Responsibilities include teaching undergraduate and graduate computer science and data science courses; implementing inclusive and evidence-based teaching and learning approaches to ensure the academic success of a diverse population of students; advising senior capstone projects; collaborating with faculty to enhance curriculum; providing academic advising; participating in university service activities; and actively engaging in university diversity, equity and inclusion initiatives.
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Certifications in data science or analytics (e.g., Certified Analytics Professional, Microsoft Certified: Data Scientist, AWS Certified Machine Learning) are preferred. To thrive in this role, you have: Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related technical field.
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PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years experience , or MS with 13+ years experience, or BS with 15+ years experience.
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Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field. Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
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computer science data visualization deep learning jobs Title: computational biology in Kekaha, Hawaii
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