39 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at Pennsylvania State University
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fieldwork for the plant disease epidemiology program, focusing on research on field crops such as corn, soybeans, and wheat. We are a dynamic lab that employs various methods to manage plant diseases
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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. It looks at where a plant is currently found, how quickly it could spread, the damage it causes, and how difficult it is to control. This information helps ensure that biocontrol programs focus
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examining Penn State’s reusable container program. This position is supported by an HHD Sustainability Research Grant. The research assistants will work closely with the faculty supervisor and assist with
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches
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landscape for Master of Supply Chain Management programs Manage data regarding the competitive landscape for Master of Supply Chain Management programs Other duties as assigned by faculty supervisor
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highly collaborative team and translational research programs focused on mucosal biology, aging, infectious diseases, and cancer-associated tissue remodeling. Our laboratories integrate molecular, cellular
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of conventional and organic disease management programs in research apple and peach orchards. In the lab, we isolate fungi and bacteria from infected fruit and plant tissues to study further using microbiological
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support: Assist with prototyping and evaluation of multi-agent workflows (e.g., information retrieval, semantic search, recommendation logic, human-in-the-loop processes). Programming and implementation
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with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus. Other Skills: Self-motivated with good