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- 
                Field
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                experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience 
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                skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work 
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                : Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research 
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                will I be doing? Refractory metals (Mo, Nb, Ta, W, and Re) are promising materials for high temperature structural applications as a result of their high melting points and high strengths. Additive 
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                evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge 
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                to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor 
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                programming/scripting capabilities. Skills in data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research 
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                writing and communication skills. Experience with one or more of the following models: WRF-Hydro, ATS, SWMM, and/or HEC-RAS. Experience with high-performance computing and Linux command line. Message to 
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                writing and communication skills. Experience with one or more of the following models: WRF-Hydro, ATS, SWMM, and/or HEC-RAS. Experience with high-performance computing and Linux command line. Message to 
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                areas. These include, but are not limited to: Reviewing educational and research materials related to electrically heated pavement systems Learning the scientific and technical principles of heat transfer