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any insect system. The position is primarily laboratory-based, with a substantial computational component, and will be carried out as part of a collaborative research team. Candidates from any relevant
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leadership in agricultural discoveries through scientific excellence. Research Project: USDA-ARS in Manhattan, KS is developing affordable remote-sensing tools to rapidly detect insect activity and grain
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issues related to insects. He/she will also participate in writing progress reports and publications. The applicant should be accordingly adaptable and able to work with a range of people in a
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Associate broadly within the field of fungal-insect interactions, with a special focus is on ambrosia beetles and their symbiotic fungal partners. Duties of the successful candidate will be determined based
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organisms such as virus, bacteria, fungi, insects, yeast cells and even human cells are also studied. Our main areas or research are: the interaction between plants and microorganisms, and other forms
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doctoral degree that is three years old at most. About us The research of the department focusses on plants, but other organisms such as virus, bacteria, fungi, insects, yeast cells and even human cells
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: Experience with the structure and function of luciferases, insect biochemistry, working with bioluminescence in mammalian cells, and expeditions and field research are highly desirable. How to apply
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the start date. Preferred Qualifications: Experience in recombinant protein expression in mammalian and insect cell culture, including transient transfection and baculovirus generation in Sf9 cells
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
, humidity, wading ponds, biting insects, and unpredictable weather. An appreciation for Midwestern ecosystems and comfot working in remote outdoor settings are important for success in this role
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scientist to conduct research on the ecological, chemical, and the molecular mechanisms that mediate in microbe-plant-insect interactions in complex communities using model and non-model organisms