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Field
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, Computer Science, or a related technical area with high preference on PhD in Biology, Bioinformatics, Computer Science, or a related technical area. Experience: 5+ years of experience in customer service or client
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eligible and ready to enroll in the UPC doctoral programme. Nice-to-haves: Previous track record of research excellence (publications, awards). Experience with Cloud-native technologies (Docker, Kubernetes
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
distributed cloud storage systems and cloud computing services. · Experience in HPC (including heterogeneous architectures). · Strong interpersonal and communication skills and the ability
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cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful
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. The research fellow must take part in the Faculty’s approved PhD program (TIK track) and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research
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. DESIRABLE EXPERIENCE Ecosystem monitoring and vegetation indices. Time-series analysis of environmental or satellite data. Cloud-based geospatial computing and large-scale data synthesis. CONTRACT DETAILS
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well as multimodal data (e.g., clinical, behavioral, multi-omics). Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization). Data Management & Quality Control Implement
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
realism of model results using theoretical understanding, physical models, and observations Use the model to investigate the behaviour of Arctic clouds in current and future climates Your Profile PhD in
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate