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- Institute of Photonic Sciences
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Field
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development of analytical solutions, data analysis and machine learning. Candidates should have a demonstrated record of scientific publications in international journals and participation in conferences
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expertise, standard procedures, and experimental know-how to preserve institutional memory and train new team members. Project and Group Management Support: Assist in scheduling, logistics, procurement, and
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on high-performance computing (HPC) facilities and adapt softwares to do so. Develop, benchmark, and troubleshoot new computational approaches, including implementing novel workflows, protocols, and
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Technology and Quality Program team, based in Monells (Girona). We offer the opportunity to become part of an organization with a dynamic, collaborative work environment focused on professional development
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related to pediatric cancer: Carry out the necessary procedures for the implementation and development of study ICI25/00046 at the IIS Biobizkaia Coordinate with the other national centers participating in
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or equivalent Skills/Qualifications Experience in Design, Development, Evaluation, regulatory procedures of Clinical Trials, and evaluation of reports for a minimum of 1 year (0.25 points per year up to a maximum
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ranging between 15 and 30%. The necessity to find additional source of organs for transplantation has boosted research on the generation of organs from pluripotent stem cells (PSCs). We develop new
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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liquid phases have been predicted. It can be realized using atoms with two valence electrons, such as ytterbium or strontium. To investigate such SU(N) physics, our group has developed a quantum-gas
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research communities. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques