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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization
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demonstrations in optimization and simulation; quantum information theory; and hybrid quantum-classical algorithms. We particularly encourage candidates whose research transcends traditional boundaries between
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for nanoscale materials and devices - Semiconductor manufacturing automation, and AI-driven process control and optimization - CMOS-compatible fabrication and integration for electronic, photonic, optoelectronic
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of proteins and protein function prediction and optimization. Must have 3+ experience in bioinformatics and/or biological data formats. Must have familiarity with protein bioinformatics (understanding
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at the Massachusetts Green High Performance Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with