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studies, including experimental planning, data acquisition in collaboration with imaging colleagues, quantitative analysis and integration with behavioural findings. Perform and develop molecular and tissue
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datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC) environments for large-scale analyses and with workflow
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Qualifications Experience with analysis of three-dimensional velocity fields Computer programming/scripting experience Experience with graph analysis and optimization methods Required License/Registration
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, embedded in the MESA+ Institute for Nanotechnology. The project offers a combination of hands-on experimental work, data analysis, physical interpretation and close interaction with industrial partners. You
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operational efficiency. The successful candidate will also contribute to research that emphasizes the analysis of observational data sets obtained by NOAA to further understand internal processes of TCs
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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Respirator (PAPR) and other necessary PPE for up to 4 hours at a time. Ability to lift up to 40 lbs. Work with large animals or wildlife. Additional Information: Minimum Qualifications: PhD in Molecular
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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research experience, with strong experimental design and data analysis skills - Excellent written and verbal scientific communication skills - Ability to work effectively and collaboratively within a