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Field
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culture and molecular methods like PCR. A track record of publication and strong scientific writing skills. The ability to work both independently and collaboratively within a multidisciplinary team. A
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
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culture and molecular methods like PCR. A track record of publication and strong scientific writing skills. The ability to work both independently and collaboratively within a multidisciplinary team. A
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black and racially
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researchers to join our UKRI Ayrton Challenge Programme project “Sustainable Cooling Infrastructure for Fisheries in Indonesia (SCI-FI)”. SCI-FI is an ambitious interdisciplinary initiative that aims to create
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methods of deterministic antiferromagnetic domain control through the application of external fields that modify the underlying crystal symmetries. The postholders will be expected to display initiative and
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be