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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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designed for (Khmurovska and Štemberk 2019); (ii) building future NPPs using unconventional materials with as-low-as-possible embodied carbon, in line with the broader process of phasing out cements with
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-based studies, including proficiency in statistical software. c) Proficiency in Portuguese, both spoken and written. Candidates who are not native Portuguese speakers must demonstrate that they hold an
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detectors and sources. § Implementation of QN component software agents into QN control manager. § Prepare high-quality scientific publications on performed work. § Present results to supervisors
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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genuine career progression opportunities via the academic promotions process. About You PhD in a field directly related to decarbonisation technologies or systems. Strong expertise in TEA and LCA, with
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for PhD Student 1 Research Fellowship(s) (BI) is(are) open at
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of ‘omics data (e.g., metabolomics
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
applicants will have: PhD in epidemiology and/or biostatistics, public health or related field Demonstrated expertise in epidemiologic study design, vaccine effectiveness evaluation, and/or infectious disease