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describe processing sequences, based on Web technologies and a scientific workflow system.; - Implement the software module and respective documentation; - Perform usability and validation tests
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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: Agricultural Sciences, Agricultural and Food Biotechnology Admission requirements: Have a Master degree, as well as laboratory experience with molecular Biology protocols. Bioinformatic skills including sequence
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, including defining the sequence of activities; 4. Contribute to the design of up to three training/capacity-building models (content and pedagogical model) to be implemented in central, regional, and local
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degree in the field of bioinformatics and computational biology. Work plan: To develop and evaluate a hybrid quantum–classical approach for NGS data alignment, combining Grover’s algorithm with classical
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conditions: Scientific Area: Computer Science and Engineering Admission requirements: BSc completed. Additional optional skills and qualifications: Have conducted research aligned with at least one of LASIGE's
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(fluorimetry, UV-Vis spectroscopy) – 15% 2. Motivation letter – 20% Clarity, objectivity and alignment of motivation with the objectives of the ReWASTE4H2O project – 20% In the case of admitted candidates whose
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by MS. Expected Results: A) Functional MGL and Siglecs for structural studies B) Library of homogeneous MUC glycodomains with diverse sequences, sizes, and antigen profiles. Fellowship duration
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– Curriculum evaluation; 2nd stage – Interview, which may be conducted by videoconference The 1st-stage assessment uses the following criteria: Curriculum Vitae/Academic record (45%); alignment
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: Aligning climate action with long-term climate and development goals”, “SDSNASSOCIATION_SG_PR04109”, financed by UN Sustainable Development Solutions Network (SDSN Association, Inc.), under the following