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, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB, Mathematica, Origin, or COMSOL Multiphysics. Background in superconductivity, magnetism, thin films, surfaces and
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to production, including containerization, model versioning, automated deployment, monitoring, and operational support. Strong backend development experience, preferably in Python, including APIs, distributed
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not expected. Experience with scientific programming, quantitative data analysis, numerical calculations and simulations using tools such as LabVIEW, Python, MATLAB, Mathematica, Origin, COMSOL
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nuclear physics, high-energy physics, or closely related field Preferred Qualifications: Proficiency in modern programming languages (e.g., C++ and/or Python); Experience analyzing large datasets
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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related area. Demonstrated research experience with large language models, generative AI, agentic AI, or related foundation model technologies. Strong programming skills in Python and experience with modern
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sequencing or next generation sequencing. Experience using bioinformatics or sequence analysis software (e.g., BLAST, Geneious, CLC Genomics Workbench, Galaxy, R, Python, or similar tools). Candidates must be
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field. Preferred Qualifications: Demonstrated experience conducting quantum chemistry calculations and reaction dynamics simulations. Demonstrated experience developing Python-based software for direct
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systems, networked/distributed systems, operating systems, virtualization, systems and network security; Programming skills: Python, C, C++, Java, Web etc. Department/Program & College Description