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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent field. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent field.
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The ideal candidate will have a strong educational background in computer science, computer engineering, or electrical engineering, coupled with experience in various aspects of computer science, including artificial intelligence, machine learning, operating systems, databases, data structures, computer networking, virtualization, file systems, digital design, and computer architecture.
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Graduate degree in psycholinguistics, linguistics, cognitive science, computer science, or a related field. Graduate-degree-level knowledge of psycholinguistics, linguistics, cognitive science, computer science, or a related field.
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Cal Poly's Computer Science and Software Engineering Department is committed to close student-faculty interaction in small classes and in developing software in real-world projects, embodying Cal Poly’s Learn by Doing philosophy ( ); is committed to a supportive, welcoming environment that enables students to succeed; and is committed to fostering a vibrant and inclusive community of students, faculty, and staff with diverse backgrounds and lived experiences.
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The candidate should have strong spoken and written communication skills, excellent inter-personal skills, and the ability to interface with students and faculty in psychology, cognitive science, computer science, applied mathematics and architecture/design.
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The Department of Computer Science and Engineering at the University of California, Santa Cruz (UCSC) invites applications for an ongoing pool of lecturers who may be appointed to teach Computer Science and Engineering courses.
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Over 8 years of experience in machine learning, predictive modeling, statistics, computer science, bioinformatics, or computational biology, specializing in neuropsychiatric disorders. PhD in Statistics, Mathematics, Computer Science, or related discipline, with a focus on neuroimaging, systems biology, or computational neuroscience and experience in neuropsychiatric disorders.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Data science, machine learning, optimization models, Master's degree 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.
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Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
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Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
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Alternatively, a Bachelors degree in Computer Science, Electrical Engineering, Electronic Engineering, Languages Translation/Interpretation, Localization or foreign equivalent and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
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As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C.
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You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
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Experience in Data science, machine learning, optimization models, PhD/Masters in Machine Learning, Computer Science, Information Technology, Operations Research, Simulation, Statistics, Applied Mathematics, Econometrics.
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computer science jobs Title: analyst Company: Genesis Research
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