**1725 Posieux \| 100-100%** ****This is how you can contribute****
* Planning and active participation to a beef cattle experiment * Coordination of sampling and measurements on cattle, both alive and at the slaughterhouse, using state-of-the-art imaging technologies * Management of longitudinal datasets, advance statistical analyses and interpretation * Optimization and evaluation of a mechanistic model of the growth function and the kinetics of the body fat-to-lean ratio * Communication and publication of results in scientific journals, scientific reporting for funders and stakeholders * Project management and collaboration within an international consortium
****This makes you unique****
* Master or equivalent degree in animal sciences, biology, bioinformatics or a related field * Strong interest in adaptive biology, ruminant physiology, new technologies and precision livestock farming for sustainable beef production * Experience in statistics and scientific writing. Very good IT skills. Additional experience in animal experimentation, modeling or knowledge of programming or algorithms would be a plus * Ability to work independently and collaborate within a multidisciplinary and international research consortium * Excellent organizational and communication skills * Knowledge of two official Swiss languages and English
****In a nutshell**** The PhD candidate will contribute to the research project "iREACT -- IntegRativE biology approach to understand Adaptive physiology of bovine reared on grass to produce low Carbon meaT". Grass-fed cattle production should be considered in the context of a circular economy, as well as for local and global food security but remains a challenging task for farmers. Grass availability remains seasonal, uncertain, and sensitive to climate changes, resulting in disrupted cattle production itineraries and the discontinuous availability of nutrients. For beef cattle, this means that maintaining a satisfactory level of...