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- Gulbenkian Institute for Molecular Medicine
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, ecology, oceanography, biotechnology, environmental sciences, bioinformatics, or related disciplines. Strong scientific track record, demonstrated through high-quality publications and/or other relevant
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; • Organization, systematization, and management of laboratory data. The candidate will also participate in the integration of experimental results with bioinformatics analyses and machine learning methodologies
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to the following weights and criteria: - Criterion 1 – Graduation average - Criterion 2 - Academic Performance in Bioinformatics and Artificial Intelligence VII.II- I – In the evaluation of the interview, candidates
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support from Fundação para a Ciência e a Tecnologia, IP.P. / MCTES through national funds (PIDDAC), 2023.17326.ICDT. Scientific Area(s): Bioinformatics, Biology, or related areas Work Plan and Objectives
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analysis and bioinformatic analysis. Analysis of antimicrobial resistance phenotypes and genotypes. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest
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. Scientific Area(s): Bioinformatics, Computational Biology or Microbial Evolution Work Plan and Objectives: The post-doctoral fellow will work closely with experimentalists in Isabel Gordo’s lab to study
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; 2024.16864.PEX, financed by national funds through the Portuguese foundation for Science and Technology (FCT I.P.), under the following conditions: Scientific Area: Bioinformatics Recipient category: The open
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, Bioinformatics analysis Work Plan and Objectives: The post-doctoral fellow will work very closely with experimentalists in Waldan Kwong’s lab to study bacterial strain interactions in the gut of the honey bee
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identification of organisms using bioinformatics tools. Workplan and objectives to be achieved: a) Planning and conducting sampling campaigns of plastic litter in recreational marinas, including the collection
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
” Workplan: In this project we aim at creating novel mathematical and bioinformatic models, based on real and validated functional data, which will define the impact of nucleotide alterations (NucAlts) in