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Babinski, PhD. This position will report to Research Professor Leslie Babinski. CIDR is a school-based research and professional learning initiative designed to strengthen adolescent wellbeing and literacy
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research profile to further integrating wet-lab techniques (such as single-cell sequencing, -omics) with advanced data analysis, for example through bioinformatics, machine learning, or AI. Themes such as
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- focusing on foundational logic and systems, strategic implementation and emerging technology. This is a full-time, non-tenure track position. Key Responsibilities: Teaching Teach four courses per semester
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worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 3 months ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
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. Experience with Python programming. Familiarity with machine learning methods. Strong communication skills and ability to work collaboratively across theory and experiment. Desired Qualifications PhD in
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Machine Learning & AI Spring semester: (beginning of January through mid-May) Python Programming for Data Science General Linear Models Deep Learning & AI The Tutor role will include the following
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. Eligibility is limited to candidates whose PhD will be conferred by August 1, 2026. Preferred Qualifications: Ph.D. in any area of physics by the start of the appointment period Passion for teaching and a
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students who are prepared for a lifetime of learning and rewarding work. Candidates should hold a PhD or master’s degree in electrical and computer engineering or related fields and should be comfortable
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and