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Genetics from an accredited University. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in
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proceedings Contribute to competitive grant proposals to federal agencies (e.g., NIH) Qualifications Required Qualifications PhD in Cognitive Science, Computer Science, Psychology, Linguistics, or related
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of multi-agent coordination, decentralized control, target assignment, or swarm robotics. Familiarity with graph neural networks, attention mechanisms would be advantageous. Experience with computer vision
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in machine learning and/or computer vision as applied to robotics. - Strong publication record and demonstrated research independence. The referenced salary range is based on Johns Hopkins University's
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discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences. Significant relevant research
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architecture and computer-aided design (CAD) across different scales. Taking into account paragraphs 1 and 2 of Article 6 of the Research Grants Regulations of the Foundation for Science and Technology or
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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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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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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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performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable