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, optimization, and the experimental validation of communication-aware robotic systems. Position Requirements: Ph.D. in Robotics, Electrical Engineering, Telecommunications, Computer Engineering, Control
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
chemistry methods applicable to biomolecular systems, which are then applied to computer-aided drug design. We are looking for a talented postdoctoral fellow to join our team and work on the development
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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, Skills, and Abilities Excellent written, verbal and computer skills required. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent critical
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who meet the following requirements: 1. doctoral degree in the discipline of Earth Sciences, Biology or related, 3. excellent knowledge of computer techniques used in geography and ecology 4. very good
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required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Certifications/Licenses Required Knowledge, Skills
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or Doctoral Degree. Minimum Overall GPA: 3.00 Discipline(s): Business (6 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences
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(6 ) Computer, Information, and Data Sciences (15 ) Earth and Geosciences (17 ) Engineering (22 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (34 ) Mathematics
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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A post-doctoral position is available to take a leading research role in an industry-facing HBLB funded research project entitled “Toward Racehorse Injury Prevention: A Computer Vision-Based