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other key stakeholders perceive the health risks associated with nuclear propulsion, and how information sharing and stakeholder dialogue affect trust, stress levels, and public concern. Your immediate
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provided based on the requirements, responsibilities, and market conditions associated with the role. For further information about the position, please contact Dr. Shailesh Singh Chouhan, +46 920-49 2165
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exploring during your PhD. Your workplace You will be employed in the research group led by Associate Professor Wen Zhong , fellow in the Swedish national program for Data-Driven Life Science (DDLS
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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strongly associated with disease resistance or susceptibility. A key part of your project will be to move from prediction to biological understanding. You will select promising microbes emerging from
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, responsibilities, and market conditions associated with the role. For further information about the position, please contact Senior Lecturer Magdalena Rajczakowska, (+46)76 128 83 34, [email protected]
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your qualifications, you are welcome to apply. If you have any questions about the position, please contact Associate Professor Jayaprakash Rajasekharan by email at [email protected]
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in close collaboration with with a postdoctoral researcher and a fellow PhD candidate, you will identify microbial taxa and microbial interactions that are most strongly associated with disease
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impact, and growth within the role. NOTE: The Research Associate (RA) Program is unique to the NRC. It falls under the RO/RCO classification system which uses a person-based classification system instead
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or genetic perturbation-as prior information, complementing or extending curated pathway knowledge. This combination allows us to move beyond purely associative integration toward structure-aware, causally