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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative analyses, or environmental modelling
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relevant, field sampling or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative
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training outcomes: We will use systematic reviews and meta-analyses to quantify the inter- and intra-individual variability in acute responses and longitudinal adaptations to resistance training, while
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Within the Proteomics Core Resource at Amsterdam UMC, location VUmc, we are looking for a PhD candidate to join the recently funded NWA-ORC project META-IMMUNOTYPES – Decoding immune-metabolic
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architecture (meta)materials for medical soft robotics applications. Furthermore, the morphology, microstructure, and mechanical behaviour of the metamaterials for soft robotics applications will be
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and synthesize via light-based 3D-printing architecture (meta)materials for medical soft robotics applications. Furthermore, the morphology, microstructure, and mechanical behaviour of the metamaterials
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
phenomena. New meta-model architectures based on learning may be proposed and tested on complex EDF use cases. However, this is not sufficient: can such a surrogate, learned from simulation data, predict
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. We expect the stipend to increase each year. The start date is January 2027. We recommend that you apply early as the advert may be removed before the deadline. Topological or meta-structured surfaces
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computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice of risk measures