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Supervisory Team: Hector Calvo-Pardo; Vahid Yazdanpanah; Tiago Alves (Solar Americas ); Enrico Gerding PhD Supervisor: Hector Calvo-Pardo Project description: Machine learning (ML) holds immense
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, equipment, and travel related to the project. Overview Machine learning aims to transform the drug discovery landscape through the prediction of potential new therapeutics with unprecedented speed and
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PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living
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Turing University Network) and the CitAI Research Centre (which features academic staff with extensive expertise in machine learning for healthcare). They will also be able to exploit the power of Hyperion
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machine learning approaches to pancreatic ductal adenocarcinoma. Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country
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collaborators and travel to academic conferences and project meetings to present the work. Successful candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in
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DNS resolver that is not secure. However, a third-party might be able to see what websites you visit or send you to an untrusted site. Learn more… Open Site in New Window It looks like your network
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reinforcement learning and machine learning and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In both positions you will work with
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part in teaching and student supervision activities in areas related to your expertise; What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural
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researchers in reinforcement learning and machine learning and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In both positions