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1.Have a PhD in a related field 2.Demonstrate previous experience with organoid work 3.Demonstrated the ability to perform high caliber research 4.Possess a first author publication be able to work independently and in a team, have an investigative nature, attention to detail; Formal...
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Postdoctoral Fellow in Machine Learning and Digital Health Services for Frail Older People Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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annum Apply by: 13/09/2026 Role Description We are delighted to announce a new opening for a postdoctoral researcher to work on offshore digital twins, focusing on fixed and floating wind turbines. The
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
of cardiovascular imaging, statistical genetics, and computational medicine. This position will interface with several units on campus, the Department of Integrative Biology, the Department of Statistics and Data
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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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for Disease Control and Prevention (CDC) in Atlanta, Georgia. The Centers for Disease Control and Prevention (CDC) is one of the major operation components of the Department of Health and Human Services. CDC
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microscopy for cellular morphological analysis.Documentation: data processing, drafting scientific reports or manuscripts, and weekly progress monitoring. Where to apply Website https://pica.cineca.it
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets