17 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship research jobs in Morocco
Sort by
Refine Your Search
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
interactions in plant ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in
-
internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development
-
, or other related fields from a recognized university. Willingness to learn how to generate new ideas, form new connections, and build on existing ideas to develop effective concepts and solutions. Ability
-
, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP
-
reference. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404220/gsmi-postdoctoral-f… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
-
for three professional references who can vouch for your qualifications and potential as a researcher Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404221/cbs-postdoctoral-fe
-
for three professional references who can vouch for your qualifications and potential as a researcher. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404219/cbs-postdoctoral-fe
-
internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development