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Field
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students working on project-related research. Qualifications Appropriate PhD in the general area of biology. May require light lifting of 20 lbs and frequent standing and walking. May require fine manual
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cloning, confocal microscopy, next-generation sequencing, bioinformatics. Mandatory requirements: Applicants must have obtained their PhD within the past seven years; demonstrate experience in at least one
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. To apply: https://academicjobsonline.org/ajo/jobs/32467 Files to submit: Applicant’s CV Applicant’s transcript showing proof of PhD; or intended completion date, which must be confirmed in a separately
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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topics. Your competencies You hold a PhD in a relevant field such as industrial ecology, environmental engineering, sustainability science, environmental management or a related area. You have experience
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. This may involve traveling to domestic destinations, as well as the use of statistical analysis. Location and Work Environment This is an in-person position. 385 AnSc Vet Med, 1988 Fitch Ave, St Paul, MN
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validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
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on the candidate’s experience and qualification. Candidates should have a PhD in Engineering, Cognitive Psychology, or a related field. Additional Qualifications include: Required Record of peer-reviewed publications
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position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an