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Field
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
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algorithms, environmental time series and anomaly detection. SALARY: Up to $6,250.00 Monthly ($75,000.00 Annual, Approximately) NOTE This is a grant funded position with continued employment contingent upon
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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Education and Experience: PhD in Animal Science or related field Required Knowledge, Skills and Abilities: Good organizational skills Ability to work independently Ability to multi task and work cooperatively
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. Essential Functions Surgeries Microinjection and behaviors Gene expression studies Manuscript and grant writing Required Qualifications Minimum of a PhD or Doctorate in Pharmacology. Minimum of 5 years
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and the terms of the research grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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Posted on Mon, 08/04/2025 - 17:10 Important Info Deprecated / Faculty Sponsor (Last, First Name): Knowles, Juliet Other Mentor(s) if Applicable: Frank Longo, MD PhD Stanford Departments and Centers
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Required Qualifications PhD in Neuroscience Supplemental Qualifications Good publication record, strong laboratory, analytical, and organizational skills, strong verbal and written communication skills; and