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tumours, and in pursuing eventual independent careers in academic research. Research approaches in our group include genomics, cell biology, functional genomics, mouse modeling, developmental biology, stem
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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quality models to better understand the effect of soil health management practices on soil-water storage in agricultural fields. A postdoctoral position is available to examine the effect of soil health
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models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and procedures and safeguards University assets
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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the implications of connecting wearable computing devices such as smart glasses to artificial intelligence large language models. The exact contribution of the post-holder will depend on their background and
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 08/05/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC