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play a key role in shaping ICFO’s strategy in this domain, contributing to leading-edge R&D and fostering technology transfer. Key Responsibilities: The successful candidate will be expected to: Provide
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projects related to PICs. Contribute to application-specific R&D&E projects, particularly in collaboration with industrial end-users and consortia partners Develop and .optimize design kits and services
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methods to accelerate the discovery and optimization of novel materials, and actively develop large-scale materials models (AI for Science) to transform the R&D process through AI-driven paradigms. In
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background in PIC packaging and testing, particularly in industry-driven environments. The selected candidate will play a key role in shaping ICFO’s strategy in this domain, contributing to leading-edge R&
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background in PIC packaging and testing, particularly in industry-driven environments. The selected candidate will play a key role in shaping ICFO’s strategy in this domain, contributing to leading-edge R&D
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institutes, or corporate R&D institutions, with at least associate professor or equivalent academic qualifications. The candidate should have outstanding academic achievements and significant influence in
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in bioinformatics (UNIX environments, R/Python, etc.) Desirable but not required/ Nice to have Experience in chromatin biology (ChIP-seq, ATAC, etc.) Experience in molecular phylogenetics and
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commercial and primary cells, and familiarity with the design and execution of preclinical trials. R&D Project Management: Experience in writing, managing, and executing research and development projects
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commercial and primary cells, and familiarity with the design and execution of preclinical trials. R&D Project Management: Experience in writing, managing, and executing research and development projects
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English Technical skills: Strong programming skills in R or Python. Additional experience in, for example, C, C++, MATLAB, or Julia would be a plus Bash scripting in a Linux environment, ideally tailored