Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Tennessee at Chattanooga
- City University London
- University of Minnesota
- Cardiff University
- Florida International University
- Harvard University
- KINGS COLLEGE LONDON
- Nanyang Technological University
- National University of Singapore
- Nottingham Trent University
- Oregon State University
- Pennsylvania State University
- The Chinese University of Hong Kong
- University of Adelaide
- University of British Columbia
- University of California, San Diego
- University of Cambridge;
- University of Dayton
- University of Leicester
- University of New Hampshire – Main Campus
- 10 more »
- « less
-
Field
-
directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
-
Summary: The Research Assistant II position reports to William (Ned) Friedman, Director of the Arnold Arboretum and Arnold Professor of Organismic and Evolutionary Biology (70% of the time) and to Faye
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
-
: £38,482-£43,259 per annum, including London Weighting Allowance Job ID: 118787 Close Date: 22-Jul-2025 Contact Person: Prof Catherine Evans Contact Details: Catherine.evans@kcl.ac.uk
-
in Cardiff to accelerate the research along the impact pathway. The research is part of a multi-disciplinary collaboration led by Prof Elaine Ferguson (School of Dentistry), Prof Dipak Ramji (School
-
can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 75% Develop, implement, and test new algorithms and tools for agricultural water
-
engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
-
learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
-
://www.ornl.gov . For questions, please contact Prof. Niki Labbé (nlabbe@utk.edu) or Prof. Jon Shefner (jshefner@utk.edu). Application Process This institution is using Interfolio's Faculty Search to conduct
-
thousands of visiting researchers each year. To learn more about ORNL visit https://www.ornl.gov . For questions, please contact Prof. Hongyu Nick Zhou (hzhou8@utk.edu ) or Prof. Mingzhou Jin (jin@utk.edu