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journals (mainly as first author). • Experience in research management. • Didactic skills. • IT skills and knowledge in big data-analytics. • Knowledge of chromatography, instrumental
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Education: Ph.D. in computer science, computer engineering, <b>data</b> science, or related areas Certification and Licensing: Not Applicable Experience: At least two...
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges
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neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and collaborative adventure. Required
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Fully funded PhD positions in nanoscience Employer Max
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programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation
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motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis Expertise in machine learning, including building and deploying prediction models Strong data
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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create data bases, perform statistical analysis; presentation and analytical skills. The well qualified candidate will also possess a PhD in a biological sciences field, or a Doctor of Veterinary Medicine