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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
and quality assessment PCR amplification and DNA sequencing Microscopy techniques and digital image acquisition Experience in plant, algal, and/or cyanobacterial taxonomy Preparation of culture media
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communities. This task includes soil DNA extraction, preparation of libraries for sequencing of 16S rRNA (bacteria) and ITS (fungi) barcodes, as well as bioinformatic processing and analysis of sequences
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 5 days ago
; Predict biological age based on DNA methylation clocks or other clocks; Leverage single-cell RNA sequencing (scRNA-seq) to study the heterogeneity of aging and identify specific populations of immune aged
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
contains multiple non-coding sequences that activate gene expression partly by RNA-binding proteins (RBPs), in particular USE/iPLUS (doi: 10/nar/gkaf1340.1093; WO/2020/076174) which is particularly relevant
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qualifications and/or diplomas, if applicable. Enrollment in a non-degree course developed in association or cooperation between a High Education Institution and one or multiple research units. Work plan
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data (sequences and associated properties), adapting existing generative architectures (e.g. VAEs and diffusion-based models when appropriate) to the peptide domain, and defining suitable representations
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
, promoting trustworthiness. Four research profiles are available under this context: Profile 1 (P1) – Development of methodologies based on graph neural networks and foundation models to integrate multiple
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improvements in classification stability and security-aware code generation. The work plan includes: (Month 1) Implement contrastive learning fine-tuning using a tailored Multiple Negatives Ranking Loss (MNRL
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, microbial community analysis of anode and cathode biofilm(s) based on 16S rRNA gene sequencing and cultivation approaches for isolation and characterization of electrogenerative microorganisms. Using