73 parallel-processing-bioinformatics-"Multiple" Fellowship positions at Harvard University
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Generative AI for career growth and entrepreneurial success. The ideal candidate will be a detail-oriented researcher capable of managing multiple large-scale projects simultaneously. You will take ownership
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· Strong skills in cell culture and/or C. elegans culture. · Proven success in publishing research papers. · Expertise in virology is a plus. · Expertise in bioinformatics is a plus. Special Instructions
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· Strong skills in cell culture and/or C. elegans culture. · Proven success in publishing research papers. · Expertise in virology is a plus. · Expertise in bioinformatics is a plus. Special Instructions
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perspectives and diverse styles of work and communication ● Able to work proactively and independently on many tasks with minimal supervision and to multiple deadlines Special Instructions Assuring efficiency
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, a Master of Science in computer and information technology from the University of Pennsylvania, and a doctorate in computer science from the Naval Postgraduate School. His dissertation research
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& Information Science & Engineering (CISE) Engineering (ENG) Geosciences (GEO) Integrative Activities (OIA) International Science & Engineering (OISE) Mathematical & Physical Sciences (MPS) Social, Behavioral
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Description Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing
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’ performance under realistic indoor conditions, including variable humidity, temperature, and the presence of multiple VOCs or particulates. The end goal is to produce a flexible library of filter components
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. This position is specifically targeted to candidates interested in computation in recurrent neural networks and is funded for multiple years by the NIH. Responsibilities: Successful candidates will conduct
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics