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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 962509 Vacancy Open to All
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Job Description Apply now Req Id: 35029 Job Title: Research Assistant Professor in Carbohydrate Chemistry City: West Lafayette Job Description: Position Description Research Assistant Professor in
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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seeking an Assistant Project Scientist in Biology Education Research. The individual will work in a collaborative team led by Professors Roxanne Beltran , Erika Zavaleta , and Robin Dunkin . The scientist
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applications for a non-tenure track Assistant/Associate Research Professor, Biology and Management of Urban Pests. The successful candidate will engage with the national pest management industry and conduct high
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students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Research Assistant Professor
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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Job Description Apply now Req Id: 36047 Job Title: Professor Research Assistant City: West Lafayette Job Description: Job Summary Assistant Research Professor Position - Physical AI for Autonomous
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more