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an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below
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/faculties/natural-sciences/our-research/research-groups/cognition-in-complex- environments/ and the inter-disciplinary Stirling Vision and Image Processing Special Interest Group http://vip.cs.stir.ac.uk
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mandatory requirements: - Bachelor's degree in Geospatial Engineering, Information Technology, or related scientific fields; - Experience in optical image processing and using Geographic Information Systems
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chromatin and nuclear structures during development (www.lsi.umich.edu/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion
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; - Develop and optimize molecular and cellular biology protocols (e.g., cloning, Western blot, RT-qPCR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide
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Full-time, 2-year fixed-term role, with the possibility of extension An exciting opportunity to join the Snow Vision Accelerator Program either as a Postdoctoral Research Associate or Postdoctoral
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Research AI Development (BRAID) department of Genentech's Computational Sciences Center of Excellence (CS-CoE) organization. This role offers a unique opportunity to contribute to cutting-edge research
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas