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- BARCELONA SUPERCOMPUTING CENTER
- Centre for Genomic Regulation
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) for cell characterization. - Post-mortem analysis of cells - Patent/paper/ reports writing Requirements: · Education: - Ph.D. in Chemical Engineering, Electrochemical Engineering, and/or Chemistry
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implementation in clinics. Requirements: Education: PhD in Physics or Photonics, with +3 years of postdoctoral experience in the area Knowledge and Professional Experience: Background in photonic sensors
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materials. The position will include a secondment at ER-C Jülich. Requirements: Education: PhD in Materials Science, Physics, Chemistry or similar Knowledge and Professional Experience: expert in STEM, EELS
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- 4 Additional Information Eligibility criteria 1) Education (degrees, affinity and quality) - 30% 2) Research and innovation experience - 30% 3) International portfolio (including mobility and
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. The interview will be conducted only for those candidates who achieve a minimum of 50 points in the sum of the merits. 15 Item nº4 Other merits related to the job and the functions to be performed (education
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. The interview will be conducted only for those candidates who achieve a minimum of 50 points in the sum of the merits. 15 Item nº4 Other merits related to the job and the functions to be performed (education
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abilities, or project management. All this will be implemented via the formal courses organized by the Education and Training team and Human Resources, and the participation in the regular seminars organized
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health challenges through research, translation into policy and education. ISGlobal has >550 staff and a broad portfolio in communicable and non-communicable diseases including environmental and climate
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members of the group Coordinate the BSC contributions to several project deliverables Requirements Research FieldPhysicsEducation LevelBachelor Degree or equivalent Skills/Qualifications Education Highly
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employ existing and develop novel computational approaches to assess the impact of the chemical compounds on gene expression or co-expression networks across the model species and explore their predictive