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. Funding category: Financement public/privé Canadian government agencies PHD title: Ph.D. PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/140122
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Canada Impact+ Emerging Leader is conditional upon their approval. Consult the Canada Impact+ Emerging Leader recruitment website https://www.canada.ca/en/impact-plus-chairs/program-details/competition
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and local, national and international collaborators. Required qualifications Education: PhD in computer science, engineering, mathematics/statistics, computational neuroscience or a related quantitative
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Oct 2026 - 00:00 (UTC) Country Canada Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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/privé Canadian government agencies; Aduro Clean Technologies PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/140120 Requirements Specific Requirements
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 3 hours agoto enable the candidate to develop a world-class research program. Qualifications (both positions) The ideal candidate will have: • a PhD or equivalent degree completed at the start date of the appointment
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for selected courses related to the M.Eng. biomanufacturing program and M.Sc. concentration in Synthetic Biology Qualifications and Education Requirements: Candidates must have a PhD in Chemical
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equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in
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program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence
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experimental datasets using computational, statistical, and/or AI/ML methods to extract insights into material performance, stability, and process-structure-property relationships. Adapt and improve experimental