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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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of theoretical quantum information processing. This includes, but is not limited to, topics such as: Quantum Computing; Quantum Cryptography; Quantum Error Correction; Quantum Foundations; Quantum Hamiltonian
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and a strong interest in coupling these data to oceanographic/environmental variables to better understand fjord and subglacial processes, as well as ongoing climate shifts and its implications
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application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group ‘Danish
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infarction, and hypertension models), echocardiographic operation and data analysis. Experience with mouse and rat handling and physiology. Primary cardiomyocyte isolation and culture. Knowledge, Skills, and
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one of the biggest threats to human health and is
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relies on the precise control of quantum information in complex systems, yet the fundamental processes that govern how information spreads, scrambles, or becomes inaccessible remain poorly understood. In