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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
across European life-science AI efforts. Requirements PhD in computational biology, bioinformatics, machine learning, or a related computational field Hands-on experience with foundation models / large
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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/1). They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively
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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 the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Posting Information Posting Details Department Marsico Lung Inst - CF Center - 426401 Posting Open Date 07/27/2026 Application Deadline 08/02/2026 Open Until Filled No Position Type Postdoctoral
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. The PDRA will develop a large-scale process for photoreforming chemistry, which uses solar energy to upcycle plastic waste into fuels and valuable chemicals. The PDRA will oversee the assembly
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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 the
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publications prior to the panel interview. In addition to further excelling your skills in Computer Vision/Big Data/Machine Learning analyses, this opportunity enables you to: - Work closely with clinicians
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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well