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artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria are: Experience with µCT or other tomography imaging
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machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with publications at internationally renowned venues in machine learning. Solid
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for scientific discovery, intelligent decision-making, and industrial translation. Build agricultural multimodal large models integrating text, sequences, images, spatio-temporal data, sensor data, knowledge
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, pharmacy, biotechnology or bioengineering. Open to PhD students, PhD, Post-Doc and residents. Permanent positions such as Professors cannot apply. For the entire duration of the grant, applicants must be
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. Required Qualifications: An earned PhD in a life sciences related field, such as Molecular Biology, Microbiology, Genetics, etc. A minimum of five years of post-doctoral wet bench research experience
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facilities (e.g., Advanced Cell Imaging, Neurobehavior) and is home to two research centers (David and Lynn Nicholson Center for Neurodegenerative Disease Research and the Center for the Future of Mind, AI
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: Evidence of post graduate supervision, especially at Master’s and doctoral level. Skills in other aspects of the Architecture programme will be considered an advantage. An NRF rating or the ability to obtain
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description and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us . This is an
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future healthy living environment. The strategic research areas in SEE include Energy Storage, Efficient Energy Conversion and Processes, Bioinspired Propulsion/Energy, Digital Energy Technology, Carbon
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