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cilia and nuclear signaling in the brain. Position Summary: We seek a candidate with strong expertise in microscopy and computational image analysis to: Support and enhance ongoing imaging projects in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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. The roles of this position include: Development of algorithms to improve memory/sample/time efficiency of LLM training. Development of a workable prototype system with capabilities such as conversational
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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(PhD) (completed or near completion) in Human-Computer Interaction (HCI), Communication, Computer Science, Information Science, Psychology, or a related field. Proven track record with publications in
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written