Displaying 501 - 510 of 2664
Colm is an agri-food system ecologist at the James Hutton Institute, working on agricultural systems and value chain mapping utilising consequential life cycle analysis techniques. Previously, a Postdoctoral researcher at UL and NUIGalway. I worked on the SeQUEsTER project, developing the GOBLIN landscape model. I also worked in Bangor university developing low emissions dairy systems for Costa Rica. In addition, as a PhD Researcher, I focused on developing Climate Smart Agriculture (CSA), under the broad themes of Adaptation, Mitigation and Planning & Development. This research allowed me to
Toritseju Begho is a researcher at Scotland's Rural College (SRUC). His research spans agricultural, experimental and behavioural economics, focusing on understanding farmers' and consumers' judgment and decision making. Recent research is centred around: Decisions under conditions of risk, uncertainty and ambiguity Intertemporal choices Investigations of decision making via laboratory, online or field experiments and surveys Farmers' adoption of technologies and sustainable practices
Bethan is a food and agriculture researcher with expertise in statistical analysis for the social sciences. Her work focuses on understanding, motivating and evaluating changes that can have positive social and environmental impacts including as changing diets, reducing food waste and adopting new technology.
Christina is a qualitative social scientist in the Social, Economic and Geographical Sciences Group. She has a background in human geography, and enjoys research in rural areas working with different land users in the countryside.
I am interested in using a range of qualitative and more creative methods (i.e., visual methods, autoethnography, creative writing) to explore issues related to housing, healthcare, ageing, digitalisation and farming. You can find me on Twitter @RachelCreaney1
Animal breeding and genetics, with a primary focus on cattle farming, both beef and dairy, in the UK and globally. Also interested in integrating animal breeding research within wider systems models to predict future farming.
Animal geneticist, computational biologist, and animal breeder. Rich experience in managing omics data (e.g., phenomics, genomics, transcriptomics), statistical learning, quantitative genetics for complex traits, genetic and genomic evaluation for livestock genetic improvement. Area of expertise includes quantitative genetics, animal breeding, veterinary science, and bioinformatics. Rich experience in leading international projects, working collaborately with industry, and surpervising students.
I have a background in metabolic diseases of cattle and sheep and the use of precision technologies – such as rumination/activity collars and pH boluses – to allow early detection of diseases. My research interests focus around bovine health and production, the use of precision livestock farming (PLF) tools to study health and nutrition problems of ruminants and innovative dairying. My interests include: PLF technologies for monitoring health, welfare and prodution in cattle Rumen function Metabolic disorders (particularly ruminal acidosis) Ruminant nutrition The ruminal microbiome Dairy
Frances graduated from the University of Edinburgh in 2010 with a BSc (Hons) in Biology. From there she went on to further specialise with her Masters in Biodiversity, Wildlife and Ecosystem Health, graduating from the University of Edinburgh for a second time in 2014. Developing a strong interest in sustainability as a result of my masters, she went on to accept a position working that the NAFC marine centre in Shetland, as a Graduate Trainee in the Fisheries and Marine Science department. While there Frances designed and ran a project exploring the carbon footprint of the local pelagic fleet
For over 19 years Will has made major contributions in the field of metabolomics and metabolite profiling. He is interested in the study and development of chromatography - linked - mass spectrometry (LC and GC) for a range of applications in the fields of plant-physiology, pathology and insect interactions, as well as natural product discovery. Will was a core researcher within the two teams who were first recognised for applying metabolomics approaches to the study of plant disease and insect interactions. Will has previously run and provided metabolic profiling services within the