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, coherence and alignment with the general objectives of the project. Host entity and scientific supervision: The work will be developed at CiTUR, under the scientific supervision of the professor(s) PhD: Paula
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Health Sciences, in the scientific area of Basic Medicine and in the sub-area of Neurosciences, aligned with the mission of Universidade NOVA de Lisboa and, in particular, with the objectives and research
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area of Medical and Health Sciences, in the scientific area of Basic Medicine and in the sub-area of Neurosciences, aligned with the mission of Universidade NOVA de Lisboa and, in particular, with
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activities, interaction with project partners, and alignment with related developments within the Culatra2030 initiative. f) Documentation, dissemination, and good scientific practices Evaluation
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application of the methodology. By aligning technical innovation with ethics and interpretability, the project aims to contribute to a safer and more responsible adoption of AI in the healthcare domain
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capacities and giving access to a representative document (article, master's thesis) that is aligned with the area of the competition, the preferred conditions related to the knowledge/experience and the work
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qualifications - 40%; b) Alignment of the letter of motivation with the work plan - 25%; c) Proficiency in the working language -35%; d) Interview, if deemed necessary by the jury. If there is an interview
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qualifications - 40%; b) Alignment of the letter of motivation with the work plan - 25%; c) Proficiency in the working language -35%; d) Interview, if deemed necessary by the jury. If there is an interview
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practices aligned with the circular economy. The research will also include the study of species adaptation to saline gradients and the associated environmental impact, based on advanced chemical and
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involves coordination with different partners.d) Having previous experience in research projects with multiple partners will be positively appreciated.e) Have research experience in the topics of Artificial