ML Research Associate: Climate & Land Regeneration

A renowned educational institution in Cambridge is seeking a skilled researcher to lead a project using machine learning to develop optimal land management solutions. The ideal candidate will have a PhD in a relevant field or equivalent experience, and a strong background in machine learning applied in environmental sciences. Responsibilities include engaging stakeholders and creating decision-support tools. Additional benefits include a pay supplement and visa support for eligible candidates.#J-18808-Ljbffr…