Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 35 minutes ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
-
analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
-
. Applicants must submit a cover letter, curriculum vitae, list of publications, a research statement, a transcript, and the names and contact information for three references in PDF format to be considered
-
cover letter, curriculum vitae with full publication list, statement of research interests, a transcript and contact information for at least two references, all in PDF format. If you have any questions
-
Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level mathematical problems and developing new
-
Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
skills and experience and interest in data analysis, data science, machine learning and process automation would be an advantage. Previous experience with XAS or other synchrotron-based techniques would be
-
motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
-
artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
-
to conduct fundamental research in the broad areas of virtual and /augmented reality (VR/AR), computer graphics/vision, generative AI, and neural rendering. Candidates will be making contributions to one
-
the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration