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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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to take full advantage of multi-core processors, GPUs/accelerators and memory hierarchies (cache, memory, storage) for data throughput, optimize task scheduling to improve load balancing and resource
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– including logistics, scheduling, communication, and onsite execution. Create and schedule content for digital and social media channels to engage the startup community and promote activities. Take full
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novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success
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parametric data). Training, user support and expert advice on experimental design, data analysis and interpretation of results Organization of logistical aspects of the service schedule, participation in lab