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Field
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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, and proteomic data and manage them in the data repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with
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, geospatial data, and machine learning methods. No candidate is expected to have proficiency in all of these computer-based skills. Rather, the ideal candidate will be a well-rounded individual with a high
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering, or
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research plans and directions; Natural curiosity and a passion for new subjects and research areas; Proficiency in computer programming and data analysis. You should also have good interpersonal and
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technical expertise and critical thinking: a PhD in (non-exhaustive list) Technology Ethics, Sociology of Digital Technology, Digital Law, or Computer Science, with a strong specialization in ethics and AI
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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-lab.com/ . The position will target the rank of Post-Doctoral Associate (within less than 5 years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or
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-lab.com/ . The position will target the rank of Post-Doctoral Associate (within less than 5 years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or