130 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Pennsylvania State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-stack development, including low-level code, working directly with hardware, developing cloud solutions, data engineering for information storage and retrieval, and development of front-end tools for use
-
work of part-time employees in the various phases of the operation Notify management of any problems Maintain proper uniform Ensure part-time employees are following proper dress code Clean janitor
-
Bachelor’s degree in Psychology, Neuroscience, or a related field Experience in a lab that conducts behavioral coding, neuroimaging, or eye-tracking studies Research experience with children Important
-
environments Hardware‑in‑the‑loop (HIL) environments or lab‑based hardware integration Use of AI‑ or LLM‑assisted workflows to improve software development efficiency, code quality, or documentation Agile
-
requirements, and validation methods such as stray light, thermal performance, MTF, distortion, and vignetting Optical design and analysis software (e.g., Zemax, CODE V, TracePro, FRED) Current coating and
-
emerging SD-WAN technologies including SASE, zero-trust architectures, and cloud-integrated networking Implement network automation frameworks using Python, Ansible, and infrastructure-as-code tools Deploy
-
controlled substances (49 CFR PART 40), and physical examination requirements as per PA. CODE 231.85. Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be
-
of infrastructure code Configure and optimize various compute resources and networks including bare metal and virtualized/container environments Provide demonstrations of your work to the internal team and
-
products, models, code, and documentation. Stay up-to-date with the latest advancements in machine learning, AI for biology, and the rapidly evolving landscape of public molecular and cellular datasets
-
for simulation verification and validation, including identification of appropriate metrics Document algorithms, code designs, and software tests in accordance with modern software development practices Additional