Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
empower tomorrow's medicine? The Research Associate Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine -learning, and visualization techniques
-
the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine Learning
-
the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine Learning
-
with geology; Paper writing & conference presentations; Contribution to the teaching of geophysics (up to 4 hrs per week). Qualifications In order to be eligible for employment as post doctor you must
-
The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply
-
computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention
-
candidate will be part of the Responsible Artificial Intelligence group and the Deep Data Mining group at the Department of Computing Science, collaborating with researchers in, e.g., data science, machine
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: New York, NY, 10176, USA Categories: Staff/Administrative Internal Number: 31364 Administrative
-
research. Ability to work independently as well as in a team. Preferred: Good knowledge of multivariate statistical methods. Advanced knowledge of data mining and other alternative data sources. Expertise
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: New York, NY, 10176, USA Categories: Academic/Faculty Internal Number: 31360 Faculty Open Rank