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opportunities to improve existing practices and services. Excellent skills in information and communication technologies including; Microsoft Office, University software packages, web and email software and
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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. The research will also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is
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Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro, Matlab
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methodological research interests, and could contribute to delivery of Masters level teaching, and supervising postgraduate research students. You should have a Masters and PhD, or equivalent work experience, in
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engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Process engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications SKILLS/QUALIFICATIONS Awarded PhD degree in the field
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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students and contributing to an inclusive, collegial research environment. Application Materials Application Process: Apply online at https://hr.missouri.edu/job-openings , Job ID# 58263. Applicants should
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software engines into a unified DAT toolchain, ensuring compliance with industrial EDA standards. Job requirements MSc or PhD in Electrical Engineering, Computer Engineering, or a closely related field