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Field
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completed within the past five years, or close to completing, a PhD in aerospace engineering, computer science, artificial intelligence, systems engineering, software engineering or a related field, with a
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experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicants are expected to be
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exhibition promotion ability, Adaptability to high-intensity R&D and industry-application settings abilities. Hard skills: Communication and written skills, design software use and manufacturing processing
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. Certificates/Credentials/Licenses A PhD is required in a closely related field (e.g. Chemistry, Physics, Biophysics, Biochemistry, Molecular biology, etc) Computer Skills Academic and research software relevant
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, environmental, or policy datasets. • Strong quantitative and econometric skills. • Proficiency in statistical software such as R, Stata, Python, or MATLAB. • Excellent written and verbal communication
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to design, lead and implement a defined programme of research and full stack software engineering in support of the Abilta project, developing, evaluating and translating innovative AI-enabled
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is expected to result in high-quality scientific publications as well as broadly applicable computational resources, such as open-source software and bioinformatics tools. We seek a highly motivated
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uncertainty in the ocean environment affect ambient noise and acoustic propagation, translating that understanding into new models, methods and software tools to support applications in maritime sensing
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software for data processing (e.g., Xcalibur software, Tracefinder software, etc.) Following your research, you will be experienced to write up your research and produce excellent, high-quality publications
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ambient noise and acoustic propagation, translating that understanding into new models, methods and software tools to support applications in maritime sensing, defence and national security. The two