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-driven and passionate about fundamental research in the context of evolutionary biology and ecology. Has strong bioinformatic skills (python, ideally experience with methylation data). Has strong
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) for general criteria for the position. Preferred selection criteria Experience with molecular cloning, microbial strain engineering, or gene expression analysis. Experience with bioinformatics or ML-assisted
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to pay for a unit change in each attribute, and identify trade-offs between the different perceived benefits. The DCE will be conducted by the recruited person with stakeholders (fishermen, managers
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on the analysis of reactive oxygen species and antioxidant defenses. Responsibilities also include proteomic and metabolomic analyses, statistical and bioinformatics analysis, and the integration of omics data
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
) Basic knowledge on genomic and transcriptomic analysis, as well as bioinformatic tools relevant for the project; e) Previous experience in supervising Master students. 7. Evaluation of the applications
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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(UCMR), thus providing interaction with researchers from different research fields and access to various scientific and technical expertise. A person who is employed as a PhD student shall primarily
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. - Is curiosity-driven and passionate about fundamental research in the context of evolutionary biology and ecology. - Has strong bioinformatic skills (python, ideally experience with methylation data
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or equivalent on Computer Science, Mathematics, Bioinformatics, Engineering, or related areas, granted or recognised by a Portuguese University. In addition, in case of selection, the candidate must
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, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data