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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 minutes 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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may be exercised over other research personnel, including research assistants, students, and other trainees. Education Requirement: • A PhD in Molecular or Cellular Biology, Genetics, Neuroscience
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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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using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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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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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
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as