1,100 machine-learning-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Fellowship positions
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denotational semantics, abstract machines, as well as string diagrams and graph rewriting. Some knowledge of category theory would be useful but not essential. Being able to formalise the frameworks and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
artificial intelligence applications in drug development. You will gain experience researching advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition
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to protect American agriculture. Learning Objectives: Under the guidance of a mentor, the fellow will learn techniques related to chemistry, molecular biology, and microscopy during the development phase and
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reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building
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Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, MRI imaging studies including respiratory gas challenges, as
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
to increase ANDA review efficiency and quality. Use and development of artificial intelligence (AI), machine learning (ML) and large language models (LLMs) to help promote business intelligence in the Agency
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on the effectiveness of mathematics interventions using randomized trials and other methodologies. Areas of focus might include mathematics assessment and discourse, examine the validity of research-based learning