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Field
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journals, and be part of a supportive and collaborative research environment at a top-tier Start Date: Determined at hire Qualifications Required Qualifications: A recent PhD (or expected PhD) in mathematics
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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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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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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Documents: Motivation letter explaining the interest in the position, Detailed Curriculum Vitae with transcripts and, degree certificate. Apply online clicking on the “Apply Now” button in this form (https
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instrumentation and computational resources. Required Qualifications: A PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields with a dissertation that
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Team (CDT), and possibly to the Bordeaux University Campus for collaboration with the Exa-SoFT research and software development teams. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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results in the form of scientific publications and by participating in international conferences and workshops. Contribute to supervision of PhD, MSc and BSc students and other teaching activities
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eviction regimes and their socio-spatial impacts. Integrate quantitative and qualitative findings into broader comparative and mixed-methods framework Collaborate closely with the PI and PhD researchers