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Field
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Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in
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project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt
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the ultimate goal to map and model human cell lineage dynamics across development, disease and aging at multiple levels of biological systems by integrating single-cell multi-omics and artificial intelligence
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stakeholders in beef cattle and bison production to collect data to build decision-support tools based on artificial intelligence. Perform other duties as assigned. Required Education and Experience. PhD degree
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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within a Research Infrastructure? No Offer Description Are you a postdoctoral researcher thinking about the next step in your scientific career? We are seeking a PhD in Artificial Intelligence or related
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(e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research. Additionally, the candidate should have experience applying artificial intelligence methods for data analysis
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-postdoctoral-associate-learning-earth-with-artificial-intelligence-and-physics-leap Return to Search Results
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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areas to be selected by the larger research group). More information about the research project and its aims and methods may be found here: https://jura.ku.dk/icourts/research/artificial-legal