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for transit services. The ideal candidate has experience with public transportation services, control and optimization techniques, and working with community partners. Responsibilities include leading
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applications to scientific computing. Topics of interest include Hamiltonian simulation, open quantum system dynamics, quantum state preparation, and quantum algorithms for optimization and sampling
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improved battery performance, safety, and durability. The successful candidate will focus particularly on zinc-metal anode design and optimization, including understanding and controlling Zn nucleation and
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optimization, compound testing, quantitative imaging, and validation of candidate therapeutic agents. Applicants should possess pronounced expertise in keratinocyte biology and a strong foundation in cellular
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optimization, compound testing, quantitative imaging, and validation of candidate therapeutic agents. Applicants should possess pronounced expertise in keratinocyte biology and a strong foundation in cellular
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optimization, and industry-engaged research. The successful candidate will work with faculty, students, and industry partners to develop experimental workflows connecting polymer materials, processing