Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
-
talented individual to lead and assist in developing and implementing new applications, specifically focusing on labor distribution and effort certification. The primary duties of this position include
-
applications and supporting labor distribution and effort certification. The ideal candidate will bring strong problem-solving skills, attention to detail, and a commitment to ensuring the successful continuous
-
engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
-
military members to apply. You will: Create Algorithms and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
-
and algorithm development, co-author scientific publications, and engage with project stakeholders. Strong communication skills and a demonstrated ability to work across fields are essential
-
delegating appropriate tasks related to social media, exhibit information distribution, and exhibition documentation. Essential Duties: Develops, researches, and presents proposed exhibitions for HUB-Robeson
-
Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
-
research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
-
: algorithms, theoretical computer science, bioinformatics, computer security, artificial intelligence, machine learning, data science, or databases. Faculty will be expected to teach in both the residential BS