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Field
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using Snakemake, Nextflow, or similar platforms. • HPC or cloud computing environments. • Long-read or single-molecule sequencing, computational epigenomics, and/or 3D genome analysis. • Statistical
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Communications, Optical Communications, RF Engineering, Sensor Networks and IoT, Computer System Security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis
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System Security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation, Signal Processing RESPONSIBILITIES Applicants will have extensive
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not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £45,399 - £48,876 per annum Experience with the Google Cloud Platform (Firebase, Big Query
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components. Examples include supporting small units operating in difficult edge environments that are often disconnected from enterprise computing infrastructure, such as tactical autonomy, first
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components. Examples include supporting small units operating in difficult edge environments that are often disconnected from enterprise computing infrastructure, such as tactical autonomy, first
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and cloud computing environments. Solid background in statistical modeling and inference Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate
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developing code with a team through collaborative version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and