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evaluated based on the information described in the detailed Curriculum vitae and other documents presented in the application. The Curriculum vitae must be structured taking into account the sequence
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neuroendocrinology, Drosophila genetics, Drosophila transgenics, peptide biology, and molecular biology (gene cloning, sequencing, PCR, RT-PCR) - information provided in the CV and/or in the motivation letter
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candidate´s merit, alignment with the CMU Portugal Program, GRE (when required) and English Language Test scores. Applications considered admissible will be scored on a scale of 0-5 in each of the following
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relevant to the area in question. Point b): Suitability of Competences (20%): Evaluation of the alignment between the candidate’s technical, scientific and professional competences and the specific
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effectively in multidisciplinary teams; good communication skills; and good command of English (spoken, written, and read). Motivation and suitability: Clarity and relevance of the motivation letter; alignment
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relevance of the motivation letter; alignment between the candidate’s interests and the project activities; ability to work in multidisciplinary teams; proactivity, organizational capacity, and critical
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other documents presented in the application. The Curriculum vitae must be structured taking into account the sequence of the criteria mentioned above. The period of five years referred to in the previous
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candidate must hold a PhD degree in the scientific area of Computer and Information Sciences and must carry out research in Computer and Information Sciences and Informatics aligned with the strategic
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 27 days ago
. Provide technical and computational support for HEI-Lab’s research on digital mental health and behavioural assessment. Develop reproducible, scalable, and ethically compliant research software aligned with
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management. The research will directly contribute to the agroecological transition, seeking to align productive efficiency with ecosystem preservation and the reduction of both water and carbon footprints