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processes and environmental engineering principles to ensure sustainability is embedded in the planning Experience modelling hydrological processes Experience of network simulation modelling i.e. for water
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). The unit is prepared with all the instrumentation for DNA and RNA quality control and NGS library preparation, including 2 TECAN robots for automation of protocols. The Genomics Unit is embedded in the CRG
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
On Chip) for embedded E&S applications, including atmospheric CO₂ and CH₄ monitoring. This PhD work will also play a central role in developing, testing, and validating the proposed statistical and machine
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PhD Research Fellowship period at the University of Oslo. Place of work is Centre for Materials Science and Nanotechnology (SMN) at Blindern, Oslo. Job description The PhD Research Fellow is a part of
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade
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courses you believe you are qualified to teach. Course listings can be found here: https://catalog.csus.edu/courses-a-z/ . About Sacramento State Sacramento State is located in the heart of California’s
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
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to apply Website https://www.academictransfer.com/en/jobs/358075/18-phd-positions-in-the-thrombo… Requirements Specific Requirements We are seeking ambitious, curious, and collaborative researchers who: Hold
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and