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Field
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. Proficiency in modelling using differential equations is required. Candidates are expected to have experience in developing and implementing computational models for computer simulations. Software development
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laboratory techniques helpful, but not required. Exposure to applicable computer technologies, including specific software applications (Microsoft Office/365), may be required. Strong communication skills
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discipline. Additional Qualifications Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects
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the predefined areas Implement and open-source proof-of-concept software tools Collaborate with other researchers in SigCom and disseminate the outputs at conferences, workshops organized by the consortium
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scientific, word processing, spreadsheet, or statistical software applications or program platforms; As a member of a project team, may assist in the design of laboratory experiments, techniques, and protocols
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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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outstanding benefits, that support your training and success at Iowa. https://grad.uiowa.edu/postdoctoral-affairs/postdoc-resources Education Requirement: PhD degree in a biomedical related science Required
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised