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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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-manage the Centre's Audiovisual and Digital Technologist and work closely with colleagues in the Immersive Learning Centre. You will need real technical depth: comfort with Python environments, command
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with automation tools such as PowerShell, Python, or Ansible. Relevant certifications like, VMware Certified Professional (VCP), or Microsoft Certified: Windows Server are a plus. Strong analytical
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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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capable of integrating quantum key distribution methods and embedding post-quantum cryptographic techniques within the framework. Develop a synchronisation mechanism to combine multiple, differently-paced
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi
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, Biochemistry, etc.) or an equivalent combination of education and relevant research experience to equal four years. ● Experience with Matlab and Python programming in conda environments. ● Knowledge of Microsoft
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familiar with programming in Python and have gained initial insights into data science and signal processing Your working style is characterised by independence, structure and good organisation What we offer
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infrastructure over time, under different scenarios. Expected Results: 1) Development of geometric deep learning, time-series data mining, and agent-based approaches incorporating microbial information for DWDSs