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Field
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. Qualifications The proposed project extensively involves mathematical modelling, computer programming, numerical simulation and experimental investigation of two-phase flows. It requires researchers to have PhD
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-facing tools using operational and simulated data. Support research activities on controller cognitive load, situational awareness, and resilience under current and future ATM concepts. Work
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
Prognostic Impact: Standard approaches to handling intercurrent events — such as avoidance of surgery in the perioperative treatment setting, transplant, treatment switching or use of subsequent therapies
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candidates must enclose: their signed application, curriculum vitae, copy of documents proving academic degree (candidates who have earned their academic degree outside Croatia must enclose a document issued
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representation of these processes, ultimately contributing to improved prediction of extreme monsoon rainfall. You will be working on the Weather and Climate Science for Partnership (WCSSP) DRENCH (DepRession
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quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with
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. Knowledge of sensor selection, integration, calibration, sensor fusion, and real-time data acquisition/processing frameworks. Experience with robot simulation, digital twin development, and physics-based
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laboratory (we would normally expect at least 3 years postdoctoral experience). Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found
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optimized power management algorithms to ensure sustainable monitoring. iii) Implementation, simulation, and performance evaluation of system for landslide monitoring and prediction. Place of work: The work
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combined with first principles and multiscale simulation for the design of molecules, catalysts and materials, with applications in clean energy and decarbonisation AI for clinical and health research using