783 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Cornell University
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Assisted Design (CAD) and advanced skills in mechanical maintenance, installation, and repair techniques Proficiency with standard hand and power tools, diagnostic equipment, machine shop, and material
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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The successful candidate will participate in research projects, aid in lab maintenance, and process data. The lab concentration is on antibiotic activity and resistance. A willingness to learn
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instruction to students on the use of design tools and programs in coordination with course requirements and learning outcomes as determined by the professorial faculty. Review CAD and 3D drawings to ensure
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mission. We strive to be a welcoming, caring, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate
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mission. We strive to be a welcoming, caring, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate
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. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation
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attention to detail. Ability to work independently, take initiative, and collaborate effectively as part of a team. Excellent written and verbal communication skills. Proficiency in common computer software
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working experience with large animals or equivalent combination of education and experience. Must have a valid driver’s license. Knowledge of or have the capacity to learn basic infection control practices
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signals from large, heterogenous observational data. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis