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). Familiarity with machine learning techniques, particularly LSTMs or other deep learning architectures. Experience with large datasets, geospatial analysis, or database development. Knowledge of ecological flows
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for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly
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. This position is for those who plan to apply for their own grants and projects independently. Qualifications Required: PhD and/or MD of bioinformatics, computer sciences, and biostatistics. Physical Demands
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at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be
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2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate
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through applied research programmes. Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 17 days ago
the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs for both life scientists and computational scientists/machine learning experts
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and Data-Driven Discovery, which involves creating a large, unique dataset linking composition to phase stability and fundamental mechanical properties for data-driven down-selection. The second pillar
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mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in