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of Researchers (Charter and Code). Please, check out our Recruitment Policy . The role We are looking for a postdoctoral researcher to join the “Evolutionary Processes Modeling” group. The selected candidate will
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will integrate single-cell transcriptomic atlases from diverse species to study cell type evolution. We welcome enthusiastic applicants with a broad interest in evolutionary biology, gene regulation, and
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or equivalent Skills/Qualifications Development and implementation of quantum algorithms applied to biological networks of Alzheimer's disease. Design of gene perturbation models using Quantum Reinforcement
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platform integrating advanced robotics, materials characterization systems, digital twins and AI-based decision-making algorithms for accelerated research. The platform will incorporate explainable AI
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study
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implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency
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, quantum compilation techniques, and noise-aware algorithms for Rydberg architectures. Apply quantum optimization to real-world problems such as logistics, scheduling, and portfolio allocation, comparing
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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asap, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks will include the design and implementation