3,691 parallel-processing-bioinformatics "New York University" Postdoctoral positions
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 10 days ago
of Adrien Taylor and Scott Pesme. The successful candidate will implement and compare different parallel and stochastic numerical optimization paradigms accurately study the selected algorithms, participate
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Job Description Apply now Job Title: Postdoctoral Associate - Cancer Bioinformatics, Biostatistics, and Multi-Omics Division: Molecular and Cell Biology Work Arrangement: Onsite only Location
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to recruit a talented researcher for a 3-year, full-time (37 hours per week) postdoc in bioinformatics and IBD from 1 March 2027 or soon thereafter. Your work tasks We are looking to recruit an excellent
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. We use comparative genomics, sensitive protein function prediction and structural bioinformatics to investigate the evolution and molecular mechanisms of microbial biological conflict, particularly
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of identifying novel therapeutic strategies targeting pro-tumorigenic stroma-epithelial interactions in CRC. Your role We seek a postdoctoral fellow with a strong background in bioinformatics and cancer biology
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Job Description Apply now Job Title: Postdoctoral Associate - Bioinformatics Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 - $65,000 FLSA Status
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
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Description The Center of Cyber Security, New York University Abu Dhabi, seeks to recruit a postdoctoral associate to work on state-of-art research on security and privacy. The researcher will be
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are therefore particularly interested in candidates who understand how mass spectrometry data are generated and processed, and how experimental design, sample complexity, instrument acquisition and data