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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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Qualifications* This selected candidate must hold a PhD or an equivalent degree and have a minimum of 2-4 years of experience in cellular and molecular biology, possess strong analytical and problem-solving skills
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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on December 14, 2025. All applicants are required to submit the following: A brief cover letter (max two pages) that includes a summary of the applicant's PhD research and career goals and outlines how an Erb
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related and pain research. Research experience within a relevant