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Field
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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Iowa using Iowa Cancer Registry data and other sources • Collaborate with biostatisticians on modeling initiatives to identify drivers of cancer trends in Iowa • Present research findings at national
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: Bibliography and identification of the energy system components. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding
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period. Required Qualifications A PhD in genetics, evolution, ecology, biology, or allied areas that will have been awarded prior to beginning this position. Highly motivated with a strong work ethic and
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and animal model. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in related fields to analyze the collected data. ● Participate/assist in
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Qualifications PhD in Developmental Biology, Cell Biology, or related fields. Strong background in cell biology, different types of fluorescent imaging, and organoid culture required. Experience with model
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expected to communicate across teams to integrate project-specific data into modeling. The post-doc will lead projects, collaborate with graduate students and researchers from inside and outside Penn State
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as
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and animal model. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in related fields to analyze the collected data. ● Participate/assist in
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong