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Field
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experience in: Mammalian cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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, protein expression and purification Sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Analyzing genomics datasets in Python or R Prior experience with Class I or Class II tetramer
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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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., RNA-seq, GWAS) Proficiency in R, Python, or similar computational tools Department Contact for Questions Questions regarding the position or application process can be directed to Dr. Tess Leuthner
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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with RF experimentation or wireless testbeds. • Experience contributing to research proposals. • Prior experience mentoring graduate or undergraduate students. • Proficiency in MATLAB, Python, and/or C
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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl
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processing, such as Python, MATLAB, or equivalent. - Prior involvement in data-driven research projects in heterogeneous catalysis, reaction engineering, or related fields. - Demonstrated adaptability