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, proteomics) Experience in developing computational tools for data analysis and visualization Laboratory experience: RNA extraction, mRNA purification, and sequencing. Specific training courses in
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open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training
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satisfy the admission requirements by the deadline of this call. Specific Requirements Applicants may prove their eligibility to obtain the corresponding degree by submitting a personal academic
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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correlated it with nanoscale microstructure analysis and growth reactions paths. Therefore, a 7-class clean room facility, a 9 and 16 T magnetic system, Transmission Electron Microscopes and an in-situ growth
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: courses related to the position (punctuation: 15) Item 03: Verifiable experience related to the work to be developed (punctuation: 40) Item 04: Personal interview. The interview will be conducted only with
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out preferentially using video conferences. Additional comments The applicants should send: - CV - BSc and MSc grade lists - Publication list (if applicable) - Documentation proving your level of
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the following criteria: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10. Curricular merits
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for languages with different orthographies in typical readers and comparing them to people with reading disabilities, with special focus on the time course of information and the effects of different
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) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing, task