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biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred
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undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology, Microbiology, or a related field, and a strong background in microbiology
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, Bioinformatics, Evolutionary Biology, Microbiology, or a related field, and a strong background in microbiology, microbial genetics, natural product chemistry, or related fields, and hands-on experience with
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certification with demonstrated research-diving experience, as well as strong proficiency in molecular biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays
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undergraduate students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Assistant
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environment that includes collaboration with fellow post-doctoral associates, senior and junior scientists, and undergraduate students. They will also benefit from the support of established Core Bioinformatics
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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interdisciplinary outlets. Collaborate with SSEL board members and affiliated faculty. Contribute to the smooth operation of the laboratory. Participate in the academic activities of the division. This position does
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for Brain & Health, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work on the mechanisms underlying mental processing speed. The successful applicant will drive a fascinating
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations