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Field
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with statistical genetics & computational biology, using yeast as our main model system. The postdoctoral scholar will have considerable freedom to pursue their research goals, assuming they broadly fit
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surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do
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of different management histories based on both mushroom inventories and DNA-barcodes in soils. We will also attempt to unravel the ecology of CHEGD fungi based on field experiments based on stable isotopes
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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how you can be a part of AgriLife and make a difference in the world! Position Information Responsibilities: -Develop ecohydrological modeling for plant water stress and irrigation optimization. -Study
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scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham
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approaches. You will contribute to the exposure assessment including extractables/leachables with the compilation of existing data, exposure modelling and analysis of selected scenarios using fit-for-purpose
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together with industry. In this team, we are looking for someone who can work independently. Every job is different, so in the beginning we will devote attention to your onboarding. If some of the work
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do not hesitate to contact our Equal Opportunities Officer and check our Equal Opportunities Plan & Cascade Model. We look forward to applications from people who enjoy working in diverse teams, where