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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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conferences and publish research results in peer-reviewed journals. You actively seek support (workshops, training, coaching etc.) if necessary. This is part of your personality: Extensive experience with NMR
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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developed using synthetic experiments through soil-canopy reflectance, thermal infrared, & surface energy balance modelling (e.g., SCOPE). Model-data integration methods will be used to derive LUE-WUE and gc
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experience with experimental developmental psychology. Experience working with infants or young families is a plus. You possess excellent collaborative and communication skills. You are versatile, flexible and
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professional background in race, indigeneity, disability, gender, and sexuality studies Preferred Qualifications. Evidence of excellent oral communication skills. Experience designing K-12 lesson plans
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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-bleaching of the fluorescent dyes involved, which ends the experiment prematurely, rendering many biological questions inaccessible. To bypass this limitation, our group has developed DyeCycling/FRET, where
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doctoral institution in Romania, · Bachelor's and Master's degrees in physics, Specific Requirements · Minimum 2 published ISI scientific papers, · Experience in data analysis/statistical physics
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. Familiarity with wet chemistry experiments and anoxic glovebox maintenance. Familiarity with custom instrumentation design and construction. Demonstrated expertise in experimental research and a strong track