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satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is to be discussed. This should lead to a dissertation (PhD thesis). We will draft an educational plan
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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, this position will require full-time physical presence at the at the NRC work location identified. The Role We are seeking a Team Lead specializing in Natural Products and Analytical Chemistry to support our
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to developing transformative strategies for managing, valorizing, and extending the lifespan of each biomass-derived carbon atom. The CBS CRI addresses major challenges such as advancing responsible resource
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Multicellular organisms rely on differential gene expression to create cellular diversity. Precise gene regulation is crucial, as failures can lead to reduced fitness, developmental defects, and disease
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scintillator-based radiation sensors combining multiple materials with complementary functions, offer a promising route to overcome these limits and achieve unprecedented timing resolution (sub-70ps), enabling