23 machine-learning-"https:"-"https:"-"https:"-"https:" research jobs at Pennsylvania State University
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REQUIREMENTS The College IST is seeking applicants for part-time job of research assistant. Job duties to include: Seeking an assistant for a research project related to data privacy/Machine Learning
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method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning
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Machine Learning, Natural Language Processing, or Computational Linguistics. Familiarity with formal logic, symbolic reasoning, or knowledge representation. Proficiency in Python and experience with AI/ML
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similarly take multiple hours. The candidate will be expected to learn aspects of 3D-graphics software, so should have computer literacy and show competency towards learning new computer programs. Skills in
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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link
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machine learning. Compensation will be consistent with Penn State’s standard rates. Job Duties: Develop and maintain web scraping scripts to collect data from various online sources Clean, organize, and
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offers an excellent learning opportunity for someone looking to develop skills in computational biology, algorithm development, and AI applications in biological research. Responsibilities: Assist with
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, translational assays, and molecular techniques, and offers the opportunity to collaborate with and learn from leading experts in leukemia and sphingolipid field. Key Responsibilities: Test therapeutic efficacy in
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opportunity in meteorology and atmospheric science and planetary atmospheres. The ideal candidate will have expertise in synoptic scale meteorology, scientific computer programming (python and/or MATLAB), data
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curriculum with emphasis on casting, welding, forging, machining, metallurgy, and additive manufacturing. Work closely with metals manufacturing faculty to provide technical support on research projects with