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theoretical results. Proficiency in Python, MATLAB, or Julia for numerical work. Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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.). Proficiency in hard skills: optical thin-film simulation, micro/nano fabrication, optical path construction, data analysis, and programming (MATLAB/Python etc.). Competent in soft skills: independent problem
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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or Python is highly encouraged. Salary and Rank Special Instructions Applications received by October 25, 2026 will receive full consideration. However, we will continue accepting applications until
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education and skills in R and Python programming, PCR, tissue culture, western blotting for proteins, confocal microscopy, and RNA-seq data analysis experience to assist with an ongoing NIH research project
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; interest in transportation, sustainability, simulation, or data analytics; basic experience with Python, GIS or quantitative analysis is preferred but not required. Additional Information: Physical Demands
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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languages (e.g., python, Matlab, C++, etc) • Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant