37 machine-learning-phd-in-netherland Postdoctoral positions at The University of Arizona in United-States
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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presentations. Collaborate with project team including PhD students, researchers, professors, and industry collaborators. Knowledge, Skills and Abilities Skilled in analytical instrumentation. Skilled in field
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profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk. This position will involve applying machine learning, deep
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work will focus on problems in controls, machine learning, image reconstruction, wavefront sensing, and instrument development and test. As time permits, you will be encouraged to conduct your own
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on the project. Knowledge, Skills & Abilities: Previous research focus on biocrust community composition and their functional role within dryland ecosystems. Minimum Qualifications PhD in ecosystem ecology or a
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., transcriptomics, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding UA benefits include health
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, AND ABILITIES: Strong communication skills. Minimum Qualifications PhD in Hydrology or related field must be attained by time of hire. Track record of peer-reviewed publications. Preferred
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, AND ABILITIES: Strong communication skills. Minimum Qualifications PhD in Hydrology or related field must be attained by time of hire. Track record of peer-reviewed publications. Preferred
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is available in the laboratory of Dr. Terry O Matsunaga, Pharm.D, PhD in the Department of Neurosurgery and Biomedical Engineering at the University of Arizona (Tucson, AZ). The successful candidate