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training programme, an extensive seminar programme, clinical academic networking opportunities, and comprehensive training and career development activities. Funding: Successful candidates receive a salary
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the impacts of rapid and longer term spatial agricultural shifts, due to international trade networks, on biodiversity, considering losses and gains and how this can be used to allow more direct comparison of
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network
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Technologies, Human-Computer Interaction, or a related field. Required completion of PhD prior to start date. Desired Experience: Experience conducting research related to artificial intelligence in education
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% Writing: Contribute to scientific manuscripts, progress reports, and collaborative research efforts. 5% Professional Development. Requirements PhD Degree in computational biology, bioinformatics
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aligned to these values and are looking for a Postdoc Research Associate – Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 program