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Field
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development of embedded intelligence and edge AI solutions within the cloud–fog–edge continuum. Participating in the creation of scalable and modular AI approaches for distributed environments. Supporting
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Description The position is funded within the DOMMINO project, a bilateral research collaboration between ICMAB-CSIC and Imperial College London aimed at generating fundamental knowledge for the development
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. The candidate will join the team of the Experimental Nephrology Laboratory to develop part of the project on Pathogenesis and Treatment of Renal Diseases. Functions to be developed: - To develop the research
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Development Commitment to continuous professional development, including participation in training activities aligned with the relevant professional or research training pathways Mobility: Short-term stays in
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("Advanced Wide Bandgap-based Power Processing and Management for Future Space Exploration") is a Horizon Europe MSCA Doctoral Network Joint Doctorate (DN-JD) initiative developed in collaboration with
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, internal seminars, mobility grants, professional development orientation, and mentoring programs for master, Ph.D. and postdoctoral researchers. Eligibility criteria FICUS ensures the utmost rigor in
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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to selectively induce tumour cell death through the concept of synthetic lethality. The growing understanding of the genetic basis of these disorders has fostered the development of new therapeutic strategies. In
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(melanoma) development and progression. Our main interest is to translate our results into clinic. Specifically, the candidate will be involved studying the role of certain molecules in melanoma development
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device