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Connallon): Meta-analysis and modelling of why additive genetic variance for fitness is so high, and what it means for adaptation and population viability (no prior modelling experience needed). (Lab: https
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UK Research Council rate (currently set at £21,805 p.a.) for 4 years. Please see: https://www.ox.ac.uk/students/fees-funding/fees/status for more information. The studentship is funded by the European
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, Psychology, Neuroscience, Computer Science, or a related field, interested in interdisciplinary approaches to understanding human cognition, experience with experimental research and data analysis, and
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application cycle (https://www.trophoblast.cam.ac.uk/opportunities/projects ) and contact potential supervisors in advance of applying. Once you have identified a potential supervisor(s) and project(s), please
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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Chemistry, or an equivalent qualification, with a specialization in organic synthesis and/or glycochemistry. Demonstrated experience in multi-step synthesis (including protection/deprotection and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
1389-1286, https://doi.org/10.1016/j.comnet.2026.112148 . [2] I. Alla, S. Yahia, V. Loscri and H. Eldeeb, "Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware
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. Department of Immunology • Translational Omics Group (https://sites.google.com/view/translationalomics-fjd/home ) • Principal Investigator: Dr. Gloria Alvarez-Llamas • Project title: Novel tools for predicting
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managers such as Snakemake or Nextflow, and version control with Git would also be valuable, but prior experience in all these areas is not expected. Where to apply Website https://emploi.cnrs.fr/Offres
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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis