553 cloud-computing-"https:"-"https:"-"https:"-"https:" positions at Pennsylvania State University
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Pennsylvania State University, Computer Science and Engineering Position ID: PennState-CSE-TT [#30850] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: State College
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The Applied Research Laboratory (ARL) at The Pennsylvania State University is seeking a researcher/engineer for our Computational Methods Development Department, located in the Fluid Dynamics and Acoustics
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) program. We are seeking passionate applicants to work with us to change the way data is captured, accessed, and processed, to make data-driven insightful decisions. The position will be responsible
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for 1 year(s); continuation past 1 year(s) will be based on university need, performance, and/or availability of funding. POSITION SPECIFICS The Tree Fruit Production and Physiology Program at the Penn
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State University is excited to announce an opportunity for a talented and experienced individual to join us as a Salesforce Solution Architect on the Enterprise Customer Relationship Management Program
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background in computer science and programming. The ideal candidate will have strong skills in web scraping, processing unstructured data (both text and images), and experience with modeling techniques such as
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architectures leveraging modern cloud-native and DevOps approaches (Kubernetes, Docker, CI/CD pipelines) Apply expertise in cloud, container orchestration, and software lifecycle automation to enterprise
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machine learning workflows and how data is consumed for training, evaluation, and deployment Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database) Proficiency in SQL and
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The Intensive English Communication Program (IECP), which is housed under the Department of Applied Linguistics in the College of Liberal Arts at The Pennsylvania State University, invites applications for part
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computer science, Information Systems, or a related field, or equivalent work experience. 8+ years of professional experience in solutions engineering, cloud architecture, or AI/ML delivery at enterprise scale