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Field
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, including autonomous robotic systems for In-space and On-orbit Servicing, Assembly, and Manufacturing (ISAM and OSAM) and space logistics. Develop and implement control algorithms for distributed multi-agent
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, including research related to the NSF SMART FIRES grant. Develop machine learning algorithms Apply data science techniques Actively contribute to an interdisciplinary research team. Publish findings Required
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the latest advances in AI to identify factors in pregnancy, labour and in the early neonatal period that represent increased risks for CP. We will develop novel AI algorithms for the analysis of physiological
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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 7 hours ago
. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics and genomics. We are developing and applying tools to understand how
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neurodegenerative diseases. 5. Oncomechanobiology: this area focuses on mechanobiological basis of development, stem cells, and cancer, with the aim to discover new pathways of intervention in pathological conditions
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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associated with the Center for Digital Narrative (CDN) , a Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural
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Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and