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ideal candidate will be self-motivated, with an interest in materials for extreme environments, and effective communication skills. Previous programming or experimental experience is advantageous but not
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or materials science & engineering. Knowledge and experience of working with polymers and rubbers/elastomers is a distinct advantage. Funding and Eligibility: UK only Key Information Supervisors
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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Essential skills: Experience with ontologies and knowledge graphs Experience with data privacy and interest in data governance Familiarity with, or keen interest in, decentralised technology (e.g. SOLID
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is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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cells, Ribo-seq, scRNA-seq, PDX in vivo models. The PhD student will work closely together with a PhD student in the lab of Prof. Michaela Frye, which will focus on the in vivo experiements of the joint
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Ability to work independently and collaboratively in a multinational team Experience with EPR spectroscopy or related techniques Background in inorganic, bioinorganic, or coordination chemistry Experience
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programming skills in R and/or Python; experience with shell scripting. Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger). Familiarity with high-performance computing
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faculty members and their students perform experiments at the School of Dentistry. The candidate for this Lab Manager position will perform detailed molecular biology experiments as well as train and mentor