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drawing on both human and bees’ logics, as well liaising with participant organisations and partners and assisting with the dissemination and testing of the developed new system via journal publications
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quantify bumble bee diet breath and population structure across historic and contemporary time periods in the southern US, with an emphasis on the state of Texas. The postdoc will carry out this research
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effect models, and their integration, as well as researchers working on environmental chemistry, aquatic eco(toxico)logy and environmental risks to bees or arthropods. You will work here The Environmental
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well as researchers working on environmental chemistry, aquatic eco(toxico)logy and environmental risks to bees or arthropods. You will work here The Environmental Risk Assessment (ERA) team at the research institute
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the reliability of data to inform data collection strategies and monitoring techniques. The focus of this PhD study is the management of interactions between pollinator insects, such as bees, and the wild native
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/PhD. Experience in working with mites and honey bees. Strong background in entomology, computational biology, molecular biology, biochemistry, and cell biology. Candidates are expected to be very
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staff position within a Research Infrastructure? No Offer Description Agroscope is looking for a: PhD Student: Early Detection of Subclinical Ketosis in Dairy Cows Using Exhaled Breath 100% / 1725 Posieux
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Toulouse, Midi Pyrenees | France | 2 months ago
paramount importance. The protein content is a determining factor in the quality of the bee colony. Thus, the variability in protein content of the genetic resources will be analysed. It is known
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creature. The brain is responsible for performing this computation and has evolved over millions of years to be efficient in power consumption and processing speed. A honey bee's brain uses a few milliwatts
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a novel and impactful approach to record and detect subtle changes in bee behaviour. The work will include deploying mathematical tools, such as Bayesian inference, onto hardware to allow real-time 3D