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Field
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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Indicator Description (Personnel Program): PSS Salary Grade: STEPS Pay Rate/Range: The budgeted hourly range that the University reasonably expects to pay for this position is $28.88 to $30.06/hr. Salary
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related to cavefish. Familiarity with appropriate laboratory and/or technical equipment. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses
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structural biology. Determining its impact on bacterial physiology under different environmental conditions. Investigating the evolutionary conservation and diversity of this mechanism in other bacterial taxa
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, The Earlham Institute which studies living systems with a strong emphasis on evolutionary functional genomics and informatics, and The Quadram Institute which has leading programmes on food science, nutrition
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
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Degree Doctoral degree in biology, neuroscience, ecology, evolutionary genetics Doctoral degree or degree awarded by Ludwig Maximilian University of Munich and Technical University of Munich Course
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Title: Willed Body Program Manager Employee Classification: Willed Body Program Manager Campus: University of North Texas - Health Science Center Division: HSC-Provost & Exec VP Sub Division
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oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller