-
associated sediments. A particular emphasis will be placed on the distribution, speciation, and enrichment mechanisms of strategically important trace elements (e.g., rare earth elements, uranium) within
-
learning (RL) and deep reinforcement learning (DRL) for autonomous process management, dynamic resource distribution, and real-time decision-making. Design and deploy digital twins for integrated chemical
-
characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project
-
ecosystems accumulate carbon and restore nitrogen and phosphorus availability via re-distribution within different forms of nutrients present in soils, reduced losses, and inputs from biological N fixation
-
during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when