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-sciences is seeking a highly motivated and talented Postdoctoral Researcher to join our Biotechnology team. The successful candidate will play a key role in developing and optimizing genetic editing
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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candidate will work full time on the above outlined research project. It is expected that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All
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hydrate–based carbon capture. The work will include reaction optimization, purification strategy development, scale-up toward bulk production, and exploration of alternative promoter candidates
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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be used in order to optimize the different growth processes. Crystals will be oriented and shaped then characterized by optical spectroscopy, X-ray diffraction as well as by various chemical and
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research backgrounds in game theory, mechanism design, artificial intelligence, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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recovery strategies for emerging solar technologies. Working in state-of-the-art laboratories, you will design experiments, optimize processing conditions, characterize materials, and collaborate with