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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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chains and intermodal distribution networks, exploring synchromodal strategies to enhance the efficiency, flexibility, and resilience of the chains.; As part of the fellowship, the selected candidate will
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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or interested in quantum algorithms, quantum optics, quantum resource theory, and semi-conductor/superconducting quantum computing are encouraged to apply. Points of contact with ongoing research programs in
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 9 days ago
. The list of activities: • Literature review on models and methods/algorithms for the design, configuration and management of automated solutions in material handling and warehousing. • Dashboard design for
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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to environmental stimuli, from decision-making to motor coordination. He/she will develop analyses and computational models to explain existing datasets and extract the algorithms underlying responses to visual and