70 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Pennsylvania State University
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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
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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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REQUIREMENTS The Food Science Department is seeking a part-time research assistant in Dr. Zhang's lab to help with the following: Conduct experiments in food protein characterization and quality evaluation Plan
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giving platform (DonorDrive®), Storefront, Power BI data analysis, and creation and distribution of email campaigns. Fundraising program support – assist with specific needs of Mini-THON®, Lion’s Club
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of head and neck squamous cell carcinoma (HNSCC). The overarching goal of the research program is to identify biologic determinants of tumor control and normal tissue injury following radiation therapy, and
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., prompt engineering, fine-tuning, agent-based frameworks, or evaluation pipelines); Strong programming skills in Python; Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers
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SPECIFICS The Penn State College of Medicine, Cancer Institute in Hershey, PA is seeking a Postdoctoral Scholar to join an NIH-funded prestigious Program Project focused on acute myeloid leukemia (AML
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scheduled to receive, a Ph.D. in an area broadly relevant to our research program by the time employment starts. The individual should be highly self-motivated and is expected to lead their own individual
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intentions and career plan. This document must be composed of three sections: 3.1) Background: Expertise and skills gained. 3.2) Research Interests: Research intentions and goals for the postdoctoral role and