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Field
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interviews is open to award no. 1 research grant in the field of “Numerical simulation of sediment transport by thermohaline bottom currents flowing along the continental slopes” for the Geophysics Section
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to facilitate the participation of students in the activities of the Personalized Medicine Laboratory, promoting its integration in clinical simulation environments and digital laboratory practice, including
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: Curriculum Vitae, copy of certificate of qualifications, motivation letter and other supporting documents considered relevant to the evaluation of significant skills to execute the work plan. Exceptionally, in
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solutions, as well as the ability to use advanced simulation software and to carry out laboratory tests. He/she will develop work within the scope of the GreenFibers project, with particular focus
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or alternative protein sources is desirable. Knowledge of gastrointestinal simulation models is also required. Preferred Factors: Strong scientific communication skills, including a proven record of publications
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notified by email of the final ranking list, including the copy of the Preliminary Report of the Jury. Prior Hearing and Deadline for Final Decision: after being notified, candidates have 10 working days
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at the University of Beira Interior. Application Documents: Candidates must submit: Cover letter; Detailed CV; Copy of the undergraduate degree certificate indicating the final grade point average, and a copy of the
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; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates holding a degree obtained abroad must, by the end of the application period, provide
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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. Preferential factors: Research experience; Experience in the fields of energy efficiency, building sustainability, building renovation and building simulation; Experience in applying quantitative methods