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quality, especially in AI+X domains, quantum technologies, materials and fabrication, sustainability, healthcare, etc. Possess a PhD in a STEM discipline. No more than 3 years of post-PhD research
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farms using the wind farm simulator using a wide range of hardware (including CPUs and GPUs). What we are looking for: Research Associate: Hold a PhD in high performance computing, computational fluid
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. Evaluate and understand how experimental conditions effect both the chemical, physical, and mechanical properties of the prepared films (e.g., using scanning electron and atomic force microscopy, infrared
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scientific publications Present findings at renowned international conferences and workshops Guide and mentor PhD, MSc, and BSc students working on related topics Support the organization of demonstrations and
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qualification. Candidates should have a PhD in Materials Science and Engineering, Chemical Engineering, Chemistry, or a related field. We welcome applicants with recent PhDs and individuals seeking additional
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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in the consortium. Your profile PhD in the field of mass spectrometry-based proteomics Ample experience in mass spectrometry-based proteomics, including sample preparation and hands-on use of modern
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research skills, and deliver seminars relating to the research area. The successful candidate should possess a PhD in Applied Analysis of Geophysical Fluid Models. Limit of tenure: 1 year in the first
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; have (or expect to have) a PhD in Molecular Biology or related field; research experience in one or more of the following protein purification, protein-nucleic acid biochemistry, cryo-electron
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degree and PhD in Forestry Engineering, Biology or Ecology; PhD less than 6 years ago, with a thesis in the project areas. Demonstrate (i) activities in universities abroad in the project's specialties