25 parallel-programming "Max Planck Institute for Human Development" Postdoctoral positions at Iowa State University
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excellent opportunity for a postdoctoral researcher interested in experimental nuclear physics, machine learning, and detector development. The successful candidate will contribute to the Iowa State
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water quality assessment, and the development, calibration, and application of SWAT+ or comparable watershed models. Experience with environmental data analysis and scientific programming (e.g
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, and industrial partners in the pharmaceutical and consumer products sectors. The appointment provides an excellent environment for professional development in scientific communication, research
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superconducting quantum circuits, particularly transmon qubits. The postdoctoral researcher will learn, operate, improve, and help develop custom experimental techniques optimized for small-volume and thin
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confocal optical access and NV positioning with filtered microwave wiring for qubit control and dispersive readout. Specific tasks include optimizing diamond sensor geometry, NV depth and NV-to-device
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technologies. This position will play a key role in developing and executing metabolomics workflows for a diverse portfolio of research projects involving biological, environmental, agricultural, pharmaceutical
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, and biomedical sciences to advance animal and human health. Department Unit/Website: Biomedical Sciences - Biomedical Sciences Application Instructions: To apply for this position, please click on
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Electrical and Computer Engineering at Iowa State University invites applications for an immediate Postdoctoral Research Associate position. The successful candidate will participate in cutting-edge
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motivated Postdoctoral Research Associate to support research focused on NOx electrooxidation and electrolyzer development as part of the DARPA program. The successful candidate will advance innovative
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diagnostic assay development. Research areas include investigating the regulation of streptococcal peptide systems, applying artificial intelligence approaches to design novel antimicrobial peptides