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Field
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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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. 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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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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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
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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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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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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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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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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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational