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the ESRC project Generations of London English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma
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of the assessment described under Section 5 below. 2.3 — The compulsory application minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission
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under Section 5 below. 2.3 — The compulsory application minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission of the application: 2.4.1
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques
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of development and fabrication of diamond coatings at low temperature on microelectronic devices, synthesis of diffusion barriers, processing of vertically aligned carbon nanotubes and their physical, chemical and
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MRI systems Raw data processing Post-processing, knowledge in AI is welcome Informal electrical and mechanical troubleshooting skills Fluency in English, particularly in oral communication Basic
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
into high-impact publications and patents Commitment to working in a fast-moving and highly competitive field as well as in a dynamic and highly collaborative group Excellent written and spoken communication
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planning, as described in the I-ReTiS-LeaksD&Op project - Towards Integrated Real-Time and Smart Water Leak Detection and Operation, supported by the Operational Program CENTRO2030, in its FEDER component