Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
-
Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
-
tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
-
provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
-
sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms
-
candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states
-
nuclei related to deep brain stimulation surgery. Responsibilities: • 25% - Work with members of the Harel lab to develop code for deep learning algorithms • 25% - Write Python code for data augmentation
-
of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
-
or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses