Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
-
student clinicians in the SLHC. As a supervisor you will be responsible for the patients your students will work with throughout the course of each semester. You will model, observe, and teach graduate
-
requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
-
Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
-
. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying
-
and data engineering, probability and statistics, machine learning, data visualization, database management systems, data mining, and predictive analytics. The Bachelor of Professional Studies in
-
to, the following: TELE 6510: Fundamentals of the Internet of Things TELE 5330: Data Networking TELE 6530: Connected Devices TELE 6500: Machine Learning Algorithms for Internet of Things Systems Qualifications: M.S
-
proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
-
: Current Basic Life Support Experience in computer systems required including web based and Microsoft office applications. Demonstrated success in working inclusively in a highly diverse colleague and
-
and Cloud based Machine Learning Position Type Academic Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills