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that underlie the adaptation of molecular systems in cells exposed to climate change. The student will contribute to develop an image analysis pipeline that extracts quantitative measurements from Single Molecule
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 10 days ago
around the 18th century Jerónimos Monastery (National Monument) with more than 20,000 students and around 1,000 teaching staff. Help to be relocated and settled in Murcia and UCAM. Excellent scientific
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peptides potentially involved in developmental and stress processes, using Arabidopsis and pea as our experimental systems, to eventually develop peptides as a tool for sustainable agriculture
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novel energy harvesting devices for the development of self-driven neural interfaces. Requirements: Education: Msc in Energy, Electrochemistry, Materials Science, Nanotechnology, or equivalent degrees
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. Education and experience in the field of Omics Sciences and/or Bioinformatics research. Capacity for leadership in projects as Principal Investigator. Autonomy. Capacity to mentor students in research
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possibility to participate in teaching activities for professional development (not obligatory, though). Gross salary per year : 29.400,00€ ( 14 payments) Eligibility criteria A specific committee will
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algorithm based on cooperative latent imagination" AIM: The PhD thesis should develop research on the design of an algorithm that adapts the latent imagination technique (or the more general concept of latent
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Educational requirements: Master degree in Plant Biology or related field. Skills: - A strong background in epigenetics and gene expression analysis - Excellent communication and interpersonal
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of self-driven neural interfaces. Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldOtherEducation LevelMaster Degree or equivalent Specific Requirements Education
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government). Fellowship covers 3-yeaer contract for research and voluntary teaching at the University of Seville. In the research group FQM393 of Mechanical Properties, Processing and Modeling of Advanced