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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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. Proficiency in data analysis is essential, and the candidate should showcase a track record of excellence in handling diverse quantitative datasets. Having experience working with vulnerable communities and
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in molecular biology Excellent programming skills Experience in computational analysis of molecular data Experience with high performance computing Aptitude for team work, problem solving and
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, plasmonics, or chiral photonics. Experience in biosensor fabrication and testing under biological conditions is highly desirable. Proficiency in experimental design, data analysis, and interpretation
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. Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair). Excellent
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from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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the opportunity of further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of
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applications Conduct detailed characterisation and analysis of composite materials, including mechanical, thermal, and structural performance testing Document findings, prepare technical reports, and contribute
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may