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Researcher (PhD Position, m/f/d) Neural Circuits and Behavior This position is limited in accordance with § 2 WissZeitVG and § 72 HessHG, offering the opportunity for individual academic qualification and with
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the immune response to mpox in both animal models and in vitro systems. We are looking for a motivated PhD student to help advance this line of research. As a PhD student, you will: Design and conduct
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the health of people, animals, and environment ecosystems. All three domains are interconnected by microbiomes. Microbiomes are present universally and are connected by species exchange, impacting human and
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authorisations of veterinary medicines, variations of existing authorisations, and animal test certificates to conduct clinical field trials. You will work within a peer-reviewed environment and contribute
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for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and temporal patterns across
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from the chromosome-level reference genome alignments. Historical and population comparisons will also be undertaken. This PhD position will be associated with the Ecology and Animal Science, Production
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
member, apply for funding opportunities, and write manuscripts and present research at conferences. The primary role (60%) is to conduct project development, management, and implement and execute research
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes