66 parallel-processing-bioinformatics Postdoctoral research jobs at Stanford University
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behind these processes, we aim to develop interventions that delay the progression of Alzheimer's-related dementia and promote successful aging. Required Qualifications: PhD in Cognitive Neuroscience
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critical materials supply chain. Key Responsibilities: Conduct research on the computational design and discovery of novel processing reagents for the selective separation and extraction of critical minerals
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computer or data science with applications to engineering, or a Ph.D. in engineering with experience in AI, machine learning, and/or LLMs). A strong passion for research, along with a proven record of
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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with a broad focus on equity-related issues in education or early childhood development/education processes Eligibility Criteria and Restrictions: Because this is a federally-sponsored training program
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-on experience with small animal handling and surgery, confocal microscopy, and molecular/biochemical assays (e.g., RNA/DNA isolation, qRT-PCR) Excellent verbal and written communication skills The ability to work
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: 02/01/2025 (may change based on processing time) How to Submit Application Materials: Email your application materials to neta.dagan@arcinstitute.org (link sends e-mail) Does this position pay above
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project with our cornea and chemical engineering department to better understand corneal neurotization and improved techniques to treat neurotrophic keratopathy and techniques to deliver growth factors and
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or Chemical Engineering. • Prior work experience in hands-on laboratory experimentation. Prior work in microfabrication, engineering design (computer-aided design), and soft lithography. • Potential experience
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imaging and surgery. The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology. Creative, highly