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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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department is looking for an energy research eager candidate to join the group. The candidate will be asked to perform the following tasks: To develop energy management software that will enable optimal
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. Communication skills in Spanish and English. Ability to work in a team, with flexibility and adaptability to perform multiple tasks. Experience in the development and application of DFT to complex systems is
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will be responsible for various tasks related to the simulation, planning, development
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, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms
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to develop novel strategies that contribute overcoming critical resource bottlenecks in energy devices. The successful candidate will be joining the CO2 Mitigation Accelerated by Photons group led by Prof. Dr
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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to develop an innovative, non-invasive strategy to focus light deep within biological tissues and other scattering media, achieving high penetration depth and speed while preserving micrometric spatial