56 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Texas A&M University
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. Special Note: This position is funded from grant and/or contract funding, which is renewed through provisions of the grantor of the contract. Therefore, this position is contingent upon continuation
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isotope modeling packages Salary: $33,000 annually - This position is expected to work in a part-time capacity. Special Note: This position is funded from grant and/or contract funding, which is renewed
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as
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recommended. Qualifications Required Education: PhD in relevant field Required Special Knowledge, Skills, and Abilities: Basic knowledge in the life sciences, with particular emphasis on molecular biology
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, United States of America [map ] Appl Deadline: 2025/10/15 11:59PM (posted 2025/07/15) Position Description: Apply Position Description We have funding for a project titled: “Improving gene drive efficiency in Aedes
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and sensors. This is a part-time position, working 19.5 hours per week. What you need to know Schedule: May have to work on the weekend and/or after normal hours. This is a part-time position, working
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experience to the position and understand the demands of supporting executives in a fast-paced environment. This person must be professional, enjoy working in a high-volume environment and be able to apply
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cover letter and resume are strongly recommended Qualifications Required Education and Experience: Appropriate PhD in a related field Preferred Qualifications: Proven track record of coordinating/managing
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https://genomics.tamu.edu/. What We Want The ideal candidate will possess a Ph.D. and have a strong background in molecular biology and computational genomics, enabling them to independently interpret QC