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Field
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digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior
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advanced systems for particle identification at low and intermediate momentum. This particularly involves the study of rare signals, including particles containing heavy quarks ("heavy flavours
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-00729300), funded by FEDER through the Thematic Program for Innovation and Digital Transition (COMPETE 2030), currently underway at the Department of Pathology of FMUP, under the following conditions: 1
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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considered relevant. The candidate should also indicate the e-mail address to be notified for all purposes within the scope of this procedure. Failure to comply with the deadline for submission
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considered relevant. The candidate should also indicate the e-mail address to be notified for all purposes within the scope of this procedure. Failure to comply with the deadline for submission
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of public law wih direct links to international law. Of particular interest are applicants who are interested in the Asia-Pacific region; technology and digital economy; sustainable development; cybersecurity