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Field
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: The grant holder will collaborate in research activities aligned with ALGO-LISTEN’s objectives and mixed-methods design. The activities will include: supporting the heuristic interface analysis
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the Selection Panel assesses the selection methods on a scale of 0 to 20 points. 9.3. Criteria and weighting factors for the curriculum assessment (CA) / Candidate’s merit Topic of the doctoral thesis: aligned
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tests following optimised procedures, including (but not limited to) patch-clamp, live-cell optical imaging, hormone secretion assay, immunocytochemistry, RNA sequencing. • Support in data
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; • Coordination between arms, torso, and robot posture; • Control of approach, gripping, lifting, and placement of boxes; • Sequencing of the different actions of the task; • Real-time monitoring of execution
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for the prediction of enzymatic activities and reactions from amino acid sequences; (ii) validation and extension of models and tools for the prediction of activities and properties of natural compounds; (iii
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assignment of a research grant, with 1 position(s), under the project with the title “Multiple neighbourhood exploration in combinatorial optimisation”. Where to apply Website https://www.apply.uc.pt
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optical imaging, hormone secretion assay, immunocytochemistry, RNA sequencing. • Support in data collection and analysis, as well as generating reports and drafting manuscripts. • Carrying out day-to-day
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; the candidate shall structure the curriculum vitae in such a way as to facilitate the prompt and complete identification of his or her contribution under each of the subparagraphs of point V.4, in the sequence
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to support adaptive public health decision-making and resource planning. The work is organized into four main tasks, aligned with the project's specific objectives: (i) Data infrastructure. Build a
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assessed, together with evidence of the competencies demonstrated for the future development Of teaching within the disciplinary area(s) of the position and in alignment with the needs of the existing