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Field
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in KIZ, contributing your expertise in evolutionary biology, genetics, molecular and cell biology, ecology, bioinformatics, and/or statistics. Qualifications: Candidates should have a PhD degree in a
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Bioinformatics will be desirable. It will be highly desirable for the candidate to have experience working in a research lab. Knowledge of molecular and cellular biology techniques will be desirable. Previous
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Bioinformatics and computational biology Applications from distinguished individuals specializing in other subfields of bioscience, bioengineering, and biomedical engineering will also be actively considered
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: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
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of biomedicine (participation in talks, oral communications, and/or posters will be highly valued). ➢ Courses and/or micro-credentials (special consideration will be given to training in bioinformatics
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. – Bioinformatic analysis and interpretation of metagenomic data of microbial and viral communities previously characterised through the BONCAT technique and cell separation techniques. – Experimentation with
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collaboration tasks within the group’s research line focused on the integration of high performance computing (HPC) strategies and methods for the scalable analysis and modeling of bioinformatics applications
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, bioinformatics, metabolism, and drug development. Using cutting-edge methods like multi-omics, single-cell technologies, and advanced lipidomics, the project aims to uncover novel therapeutic targets. UNLIMITED
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points Experience in the field of assessment and intervention with older adults will be highly valued, as will experience in research projects, database management, bioinformatics, and writing scientific
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of research, although our relative emphasis will be in bioinformatics, biochemistry and biophysics，bioengineering， cancer researches, epigenetics, cell biology, chemical biology, computational biology