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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability to visualize experimental results. Effective inter-personal and team-building skills
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. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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contributions. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code
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analysis of biological datasets using R, Python, SAS, or related platforms Ability to integrate laboratory, greenhouse, and environmental datasets to support predictive analyses and IPM-focused decision
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in Python or MATTLAB Qualifications: PhD required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Joining the CMU team opens
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printed circuit board prototyping Basic data analysis using MATLAB or Python Experience with microcontrollers Problem solving skills and out of the box thinking A combination of education and relevant
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circuit design experience preferred Know how to design circuit using one or more of the software listed (Cadence; Fluent use of LT-Spice, Verilog-A, Python, ADS, ICCAP, etc.) Know how to perform circuit
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/geometric data analysis, among others. Strong programming skills and experience (e.g., Python, R). Preferred Interdisciplinary research experience with experimentalists. To Apply Applicants should contact Dr