Search Results - 17 results
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IT Support Specialist III in Manhattan, Kansas
The IT Support Specialist III is vital in managing and optimizing endpoint management and patch management services to ensure the efficiency and security of PC and Mac systems within the university. This position plays a key role in maintaining system performance, enhancing user satisfaction, and ensuring high compliance with the latest software updates. The specialist will work closely with IT teams to streamline processes, implement new technologies, and maintain a robust IT infrastructure that supports the university's operational needs
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Animal Technician II in Manhattan, Kansas
This is a relief emergency milking position. Duties include setting up milking equipment, carefully moving cows to and from the milking parlor, prepping cows properly for milking (predippping and cleaning of teats), diagnosing abnormal milk (if mastitis exists then proper milking and disposal of milk must occur), attaching milking machines, and post-dipping teats after milking. The employee sanitizes the equipment before and after each milking shift. In addition, the employee coducts regular inspection of the milk tank compressors, milk line and pump to ensure bulk storage tanks are operating correcting and cooling milk before, during, and after each milking shift. Other miscellaneous animal care duties may be assigned during the milking shift.
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Fellow (Post Doc) in Manhattan, Kansas
We seek an enthusiastic colleague to help lead an experiment co-designed by The Nature Conservancy and researchers at Kansas State University. The experiment will assess the effectiveness of “virtual fence” technology to control cattle grazing locations with the aim of improving conditions for grassland birds, and improving stream health including water quality, stream macroinvertebrates, and streamside vegetation. The post-doctoral fellow will be jointly supervised by Dr. Alice Boyle and Dr. Walter Dodds (K-State Biology) and collaborate closely with Tony Capizzo (The Nature Conservancy; Tallgrass Prairie National Preserve) and managers from the partner ranch.
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Fellow (Post Doc) in Manhattan, Kansas
The purpose of this position is to study light-matter interactions in strong-field and weak-field regime; multi-color pump-probe experiments in ultrafast AMO physics and photochemistry employing various electron and ion imaging techniques.
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Assistant Professor Quantitative Genetics in Manhattan, Kansas
The Agronomy Department at Kansas State University is seeking an Assistant Professor, 12-month, tenure-track faculty position with 80% research and 20% teaching appointment, to develop a strong, innovative research and teaching program in theoretical Quantitative Genetics with focus on developing novel statistical and quantitative modeling approaches to genomic and phenomic data collected in crop genetics and breeding programs. This position will apply these models for understanding the genetic mechanisms underlying variation in major agronomic traits, including but not limited to crop adaptation and productivity, and apply these models for predictive breeding to accelerate development of improved crop varieties. This position will be expected to collaborate with crop breeding, genomics, and phenomics teams to apply machine learning and artificial intelligence (AI) to leverage large-scale datasets for mechanistic understanding and trait prediction under changing environments. This position is expected to develop collaborative ties to programs across departmental and college boundaries. The incumbent will develop new courses for graduate students in application of advanced modeling approaches, including machine learning and AI, to crop improvement. The incumbent will develop graduate level courses to support the teaching mission of the Department of Agronomy, Interdepartmental Genetics Program, and College of Agriculture in the area of quantitative genetics. The developed courses will provide training opportunities for graduate students in one or more of the following areas: 1) crop quantitative genetics, 2) application of AI-based methods to crop genetics and breeding, 3) modeling crop genotypes, development, and physiology in relationship to the target selection environment.
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