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points Number of presentations ≤ 2 – 0 points B) Interview, scored from 0 to 20 (weighting 50%) I. Communication and teamwork skills - 5 points II. Demonstrated knowledge in the field of operations
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, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
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Neuroscience Working knowledge and advanced productivity in using physiological and behavioral tools to treat and prevent noise-induced vestibular injury Demonstrated ability to apply for and receive grant
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approved the doctorate hiring regime destined to stimulate scientific and technological employment for all knowledge areas (RJEC); Portuguese Labour Code, approved by Law 7/2009 of February 12, in its actual
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University How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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of licensures and certifications when applicable in relevant area. It is expected that the faculty member will pursue and maintain excellence in all areas, continually seeking opportunities to advance knowledge
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biobanks. This includes engaging with researchers from diverse disciplinary backgrounds. Your competencies You must have a mathematical/statistical degree with knowledge of causal modelling as
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electrical characterization. A strong interest in experimental work and willingness to develop independent lab skills are essential. Good written and oral English communication skills. Prior knowledge of micro
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approved a hiring regime of doctorates aimed at stimulating scientific and technological employment in all areas of knowledge, by the Regulation of Scientific Employment (RSE), by the Regulamento da Carreira