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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the formation of two- and three-dimensional DNA structures which
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(Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill
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. § Background in high-dimensional data analysis § Minimum of 2 year(s) experience in statistical software R, Python or equivalent § Excellent communication skills (written and oral) using the English language
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construction, interior materials, three-dimensional design, building systems, and sustainable design. FLSA Status Exempt Application Procedure All candidates must apply through SuccessFactors and include: 1) a
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track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine
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comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-TOFMS) for a period of up to 17 months. This work has significant potential for impact in understanding environmental
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Boston University Chobanian & Avedisian School of Medicine | Boston, Massachusetts | United States | 3 months ago
or pregnancy-related condition, or because of marital, parental, or veteran status. Submit a cover letter, CV, a 2-3 page research plan, and referee contacts by 30 October 2025 via AcademicJobsOnline https
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Nanomaterials for Biomedical and Environmental Applications Two-Dimensional and Quantum Materials for Next-Generation Devices AI-Driven Smart Sensor Technologies COLLEGE OF ENGINEERING AND COMPUTER
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developing PostgreSQL-based solutions. Preferred: At least 2 years of experience with dimensional modeling concepts for data warehousing. Proven ability to work with large-scale datasets, both structured and
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developing PostgreSQL-based solutions. Preferred: At least 2 years of experience with dimensional modeling concepts for data warehousing. Proven ability to work with large-scale datasets, both structured and