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computational predictions with experimental validation. At the computational stage, the candidate will establish molecular docking and molecular dynamics simulation workflows to predict receptor–ligand
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for the processing of human blood samples, including the isolation of plasma and peripheral blood mononuclear cells (PBMCs), as well as the independent execution of laboratory techniques in molecular biology and
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knowledge/research experience in the following areas: Microbiological monitoring methods for water samples, using both classical microbiology and molecular microbiology approaches (e.g., DNA extraction
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. Procedure Reference: IT137-26-162 I - Legal admission requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area of cellular and molecular biology, biomedical research, biotechnology
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/InstituteGulbenkian Institute for Molecular MedicineCountryPortugalState/ProvinceLisbonCityLisbonPostal Code1649-028StreetAv. Professor Egas Moniz - Edifício Egas MonizGeofield Contact City Lisbon Website https
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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. This multidisciplinary approach aims to deepen our understanding of Arctic bivalves and their role in polar ecosystems. The candidate will gain expertise in taxonomy, phylogenetic analyses, molecular biology, and benthic
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enrolled in a doctoral program or in a non-degree program relevant to the development of the activities included in this project. Knowledge of classical and molecular microbiology and bioinformatics applied