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to large datasets You have proven programming competence in Python and/or R, and expertise in Linux and high-performance computing environments You have a genuine interest in, and prior exposure (through lab
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to global challenges. Our academic staff are drawn from the world's finest institutions. English is the medium of instruction, and undergraduate programs align closely with postgraduate studies
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genetics, genome or epigenome data analysis, or related fields You have proven programming competence in Python, R, or C++, or related languages, and expertise in Linux and high-performance computing
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accreditations. Requirements: Degree in Electronic Engineering, Physics, or equivalent. Knowledge and Professional Experience: Electronic systems/circuits development, programming. Teamwork skills, Fluent English
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accepted) Research Proposal (max. 2 pages, PDF format; Chinese or English accepted) Candidates should address at least one of the listed focus areas 5. Award Details After review by the academic committee
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(ZJE) (http://zje.intl.zju.edu.cn/ ) is established by two world-leading universities, Zhejiang University (2025 QS Ranking: 47) (https://www.zju.edu.cn/english/ ) and the University of Edinburgh (2025
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: Experience in electronics and electrochemistry. Experience with micro/nanofabrication and characterization tools (AFM, TEM, SEM, etc.) Experience with neural interfaces. Experience in programming (LabView
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of experience in backend development and production maintenance Database expertise: Strong knowledge of PostgreSQLand PL/pgSQL(experience with MySQL will also be considered) Programming: Proficiency in Python
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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages
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, the Spanish Ministry of Science and Innovation, Generalitat de Catalunya, an AXA chair, European Foundation for the Study of Diabetes, the Marie Skłodowska-Curie Actions program, and a CIBERDEM diabetes network