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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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cardiomyocytes and other cardiovascular cell types. Education Requirement: PhD in physiology, pharmacology, biochemistry, physics, or a closely related field. Required Qualifications: Strong laboratory, analytical
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research assignments related to advanced thermal and energy system technologies, including: Conduct experimental and analytical research to evaluate advanced thermal and energy technologies, including energy
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), chromatographs (gas and liquid), vacuum equipment (pumps, chambers) and laboratory equipment (analytical balances, centrifuges, motors, refrigeration and other temperature-controlled devices, etc.). The primary
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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; prepare manuscripts and grant applications; and present data and findings to internal and external audiences. Successful candidates will have the ability to collaborate with faculty, staff, and students
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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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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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to daily lab operations. Knowledge, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data