27 parallel-processing-bioinformatics Postdoctoral research jobs at Northeastern University
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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bioinformatics to integrate findings. Scientific Communication: Publish results in peer-reviewed journals and present at internal and external scientific meetings. Qualifications and Skills PhD in cellular biology
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. Collaboration: Work closely with scientists across disciplines including immunology, molecular biology, and bioinformatics to integrate findings. Scientific Communication: Publish results in peer-reviewed
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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biology, or a related biological discipline is required. Candidates should also have knowledge in one or more of the following areas: molecular biology, genomics/metagenomics, bioinformatics, microbiology
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs