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, implementation, maintenance, and modification of complex research projects involving data collection, algorithms, data manipulation, analytical modeling, data warehousing, and computer applications and reporting
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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learning algorithms. • Adapting the method to multiple faults • Using the method to detect corrupt data, or even threats of attacks and intrusions on networks • Carrying out a proof of concept by
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of algorithms for optimal welding (trajectory and force planning, adaptive parameters for surface/MLI, rapid data analysis: current–voltage–force–SWIR). • Data logging and synchronization, preparation
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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing listening effort
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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en