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, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection method consists of a Scientific and Curricular Path Assessment
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it keeps the exclusion decision, notifies the excluded candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s
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chemistry, or Applied Mathematics or Information Technology. Experience with numerical programming, machine learning or data analysis, preferably with Python. Solid background in technical mathematics
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candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection methods consist of a
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of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection methods consist of a Scientific and Curricular Path Assessment (SCPA), weighing 90%, and an Interview (I
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well as in use of numerical methods via collaboration with RICAM experts the opportunity to complete a high-quality dissertation within an excellent, collaborative, and transdisciplinary research environment a
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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a solid platform for the PhD candidate. Job description The student will be involved in tasks such as: To collect air samples To apply microbiological methods such as qPCR and sequencing to identify
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical
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related fields. Background on numerical methods and/or programming skills will be valued. Starting date: PhD contract should start as soon possible, in any case, no later than September 1st, 2026