Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
optimization, data insights, and scalable solutions. Beyond recruitment delivery, this position contributes to broader HR Initiatives and plays an integral role in advancing CBS?s overall talent strategy
-
to sustain an active research and publication agenda and to teach in the departmental undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and
-
, including uploading send lists, scheduling and sending emails, and tracking email send information. Works with the Director, in partnership with other team members, on large-scale events including the design
-
Direct experience arranging complex domestic and international travel itineraries Proven background in processing large volumes of transactional work on a day to day basis, while managing other short and
-
statistical models to understand and explain biological phenomena. • Create algorithms to integrate large and diverse datasets into theoretical frameworks for modeling complex biological systems. • Collaborate
-
information from clinical notes ? Implementing machine learning models for prediction and classification tasks in cardiovascular populations ? Cleaning, preparing, and managing large healthcare datasets
-
related data, including personnel and student account information. Collaborate with managers to maintain compliance and avoid budget overruns. Partners with the Associate Dean for Finance, Strategy, and
-
also maintain long-term plans for equipment, maintenance, and staffing and contribute to grant applications for new equipment and large center grant proposals. The Research Scientist may also collaborate
-
. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to "big data" in multi-omics and medical data for aging and diseases, such as
-
language processing, large language models, and speech analysis to conduct research on building algorithms for early detection of Alzheimer?s disease based on audio-recorded patient?clinician data. Contribute to prompt