Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- Sveriges Lantbruksuniversitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- IRTA
- Michigan State University
- Norwegian University of Life Sciences (NMBU)
- The University of Queensland
- University College Dublin
- University of Minnesota
- University of Nottingham
- 3 more »
- « less
-
Field
-
agricultural economics. The position may also benefit from synergies with ongoing projects at the Swedish and EU levels within the research group, including on climate goals and advisory services in the dairy
-
fermentation of alternative dairy ingredients. You will work with postdoctoral researchers to conduct laboratory experiments, implement automation workflows, and manage experimental data within an industry
-
, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
-
About the role – In this post, you will join a collaborative BBSRC-funded project focused on using metabolomics and machine learning to predict lameness outcomes in dairy cows. A typical day may
-
various dairy systems and livestock/grazing management scenarios. Document model development processes and disseminate research findings through peer-reviewed publications and technical reports. Performs
-
, sensor technologies, and data analysis for research focusing on automated health monitoring in dairy cows. About the project This postdoctoral position is part of a newly funded research project aimed
-
collaborative environment within our organization. To contribute to research aimed at improving sustainability and efficiency in food production. The successful candidate will work on different foods (dairy
-
% Writing 10% Requirements Ph.D. in Animal Science, Dairy Nutrition, Feed Science, or a related field Strong background in ruminant nutrition and feed processing Proficiency in life cycle analysis Familiarity
-
candidate should have experience in applied cell biology and mammary gland physiology in dairy cattle. Furthermore, the candidate must have experience in designing and conducting in vitro cell biology studies
-
producers. Anticipated Division of Time Research 50% Data analysis 40% Writing 10% Requirements Ph.D. in Animal Science, Dairy Nutrition, Feed Science, or a related field. Strong background in ruminant