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is available at https://colalab.ai/ . At EI, the group will develop an ambitious Generative Digital Biology (GDB) programme, developing multimodal, cross-organism and experimentally grounded AI systems
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that learn from biological data, support hypothesis generation, guide experimental design and accelerate discovery. Further information is available at https://colalab.ai/. The group will have access
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referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process . The closing date for applications is Monday 21st
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Beijing Normal-Hong Kong Baptist University (BNBU) | London, England | United Kingdom | 3 months ago
4 Jul 2026 Job Information Organisation/Company Beijing Normal-Hong Kong Baptist University (BNBU) Research Field Agricultural sciences Biological sciences Management sciences Computer science Arts
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working with the Health Informatics Centre team (HIC - https://www.dundee.ac.uk/hic/ ) at the University of Dundee. Your priorities will include: Design, deploy, and manage infrastructure across local
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informationhere to help determine your visa eligibility. Additional guidance is also available on theUK Visa & Immigration website . Our website https://sheffield.ac.uk/cs For informal enquiries about this job
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is available at https://colalab.ai/ . At EI, the group will develop an ambitious Generative Digital Biology (GDB) programme, developing multimodal, cross-organism and experimentally grounded AI systems
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: Email: [email protected] Technical support: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing
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welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also our
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) assessed at Completed (or near completion of) a PhD in electrical and electronic engineering, computer engineering, computer science or a closely related discipline, with demonstrable expertise in one