Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- ; University of Bradford
- Agroscope
- ETH Zurich
- Eindhoven University of Technology (TU/e)
- Utrecht University
- ; Swansea University
- ; University of Exeter
- Aix-Marseille Université
- Baylor College of Medicine
- CNRS
- Charles University Environment Centre
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Ecole centrale de lyon
- Erasmus MC (University Medical Center Rotterdam)
- Mines Paris - PSL, Centre PERSEE
- Norwegian University of Life Sciences (NMBU)
- RMIT University
- Radboud University
- Rennes University
- Sveriges lantbruksuniversitet
- Swansea University
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- Umeå University
- Umeå universitet
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Georgia Warnell School of Forestry and Natural Resources
- University of Montpellier
- University of Nottingham
- Université de Technologie de Compiègne (UTC)
- 23 more »
- « less
-
Field
-
or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
-
deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening
-
assess potential health inequalities. Facilities The PhD student will be based in Population Data Science at Swansea University with visiting PhD Student Status at the Department of Statistics
-
statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals
-
University of Georgia Warnell School of Forestry and Natural Resources | Athens, Georgia | United States | 13 days ago
statistics and/or experience in data analysis and modeling. You must be fluent in English (oral and written
-
datasets? We will use statistical genetic approaches, including Mendelian randomisation, to address these questions. This project will provide important information about the complex relationship between
-
. The aim of the project is to replace existing methodologies involving extensive experimental campaigns, which are generally expensive and time-consuming, even when supported by statistical design of
-
of subclinical ketosis using exhaled breath. Your tasks: • Planning and carrying out feeding experiments with dairy cows • Working in an interdisciplinary team • Preparation and statistical analysis of the data
-
statistical evaluation will be appreciated. The candidate should be curious, highly motivated, and flexible to address a highly inter-disciplinary project. Good English skills, writing and speaking, are needed
-
and progamming skills; Knowledge of Python.; Knowledge of Bayesian statistics, machine learning, and optimisation, or a willingness to learn. This scholarship is open to candidates of any nationality