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Field
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis
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, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be
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Demonstrated experience with HEP or NP detector design and simulation Proficiency in scientific software development (e.g., C/C++, Python, or similar languages) Ability to model Argonne’s core values of impact
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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of multi-omic data Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages Ability to model Argonne's core values of impact, safety, respect, integrity
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) or equivalent experience in a computational science discipline, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience
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, background in neuroscience. Candidates should have prior experience with electrophysiology, behavioral analysis, and stereotaxic surgery. Additional experience in computational methods and programming (Python
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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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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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Biostatistics, Statistics, Computer Science, Data Science, Bioinformatics, or a related quantitative field Preferred Qualifications Proficiency in statistical computing (e.g., R, Python) Strong quantitative