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Field
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for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the supervision of Dr. Hanan Salam on the : (1
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health impact assessment. The work will include a. conducting and writing literature reviews and critical literature synthesis, b. desk data collection of traffic/mobility/travel, air pollution and public
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blotting, RNA and genomic DNA collection from zebrafish and mouse for RNAseq and ATACseq experiments Generation of mutant and transgenic zebrafish and/or mice Zebrafish and/or mouse husbandry and genotyping
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Investigator, the Postdoctoral Associate will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote
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independence and self-reliance classification according to the collective agreement of the federal states (TV-L) up to EG13 with up to 100% of the regular working time (including special annual payment) a
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position is time-limited to 3 years and connected to the research activities on the topic of the role of Artificial Intelligence (AI) for firm innovation. A diverse set of factors will be analysed within
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of the appointment with a minimum of one year of eligibility remaining; Experience in collecting, managing, processing, and analyzing large datasets; Outstanding database management and analytics skills, including
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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make a difference in the world! Position Information We are seeking a postdoctoral position focused on the development and deployment of computer vision and intelligent robotic systems through physics
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of coatings formulation both through deterministic mathematical models and through use of artificial intelligence. Responsibilities and qualifications Your overall focus will be on strengthening