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(arbitrary waveform generators, FPGA-based quantum controllers, time taggers) and with scientific programming, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB
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approaches relevant to structural characterization, including density functional theory (DFT) calculations, crystal structure prediction, NMR simulation, scientific programming, or quantitative data analysis
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One year of experience working with persons with Parkinson’s disease Department Unit/Website: https://kin.hs.iastate.edu/ Candidates must be legally authorized to work in the U.S. on an ongoing basis
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research utilizing genetic, molecular, and microscopy-based approaches to investigate parasite development and fertility. Responsibilities include experimental design, data analysis, preparation of
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processes. The research will involve synthesizing and characterizing carbon-based electrodes and catalysts, evaluating electrochemical reactions in flow-cell systems, optimizing electrode structure and
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Experience conducting population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems
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datasets; Experience with software-based machine learning, including modern approaches such as foundation models and/or generative adversarial networks (GANs). Department/Program & College Description
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conducting independent and team-based research, the candidate will actively engage with internal and external collaborators, contribute to scientific publications and presentations, and support the
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field. Preferred Qualifications: Experience in proteomic data analysis and laboratory bench work related to proteomics. Experience operating image-based flow cytometry platforms and analyzing
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areas: plasma thermodynamics, fluid dynamics and heat transfer, multiphase flows, or machine learning-based multiphase flow dynamics and control. Strong written and oral communication skills, as