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for the production of libraries for high-throughput sequencing for metagenomic studies; Experience in the bioinformatic analysis of metagenomic data, including processing of high-throughput sequencing data, use
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
(TRL) of project results Collaboration in multidisciplinary teams and across multiple parallel workstreams Production of scientific publications, scientific software, computational tools, technical
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supporting documentation, proven experience in all of the following areas: natural language processing and machine translation (sequence-to-sequence modelling, NMT, glosses); deep learning, Transformers, and
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of bioinformatics tools, analysis of high-throughput sequencing data, and an interest in the field of ancient DNA (please provide details in the motivation letter and curriculum vitae). Workplan and objectives to be
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, participation in scientific/academic events and scientific dissemination – 15%3. Motivation Letter (Clarity, objectivity and alignment of motivation with the objectives of the MareCircularis project) – 10
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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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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