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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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the program, ensuring their professional growth while collectively meeting program milestones on schedule. Contribute to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively
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industry partners and domain experts. Knowledge Dissemination Prepare high-impact journal articles and present at international conferences. Contribute to workshops and stakeholder briefings on sustainable
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, 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
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in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas
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Processing, Mining Engineering, Georesources Engineering, or related field. Proven experience in ore characterization techniques (mechanical, mineralogical, physical). Solid knowledge of comminution
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of antibiotics has accelerated the increased prevalence of Antimicrobial Resistance (AMR) around the globe. Our knowledge of the mechanism associated with drug resistance (e.g., molecular adhesion and invasion) is
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sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical
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in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes interactions including root growth dynamic, root functional traits