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Field
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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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, datasets, computational infrastructure and scientific networks. Applicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply – prior
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to extend for another 11 months. Requirements and person specifications of the role as well as your responsibilities and benefits are included in the following. Ample networking and collaboration
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to assess and organise resources, and the ability to communicate complex information effectively in English, both orally and in writing. They should also be able to build effective internal and external
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, including data collection, analysis, and interpretation. A proven track record in numerical data analysis and/or modelling, demonstrating the ability to handle complex datasets and apply appropriate
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CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 3 months ago
to engineer highly specialized neuronal subtypes for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages
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: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings
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network analysis, qualitative and mixed methods, and complex intervention development and evaluation. A defining feature of our approach is our commitment to capacity building and knowledge mobilisation. We