3 machine-learning-phd positions at Universidad de Huelva in Spain

Higher Baccalaureate or foundation-level vocational qualifications

laboratory analysis. Handling of specific software on nutrient dynamics. Experiment tracking. Design and programming of machine learning techniques. Eligibility criteria Agricultural Engineering, or Industrial

Graduate (BSc or MSc) in Agricultural or Industrial Engineering, or Bachelor in Mathematics

and programming of machine learning techniques. Selection process Merits based tender process (maximum 10 points): Personal Formation: Academic record (Average grade of the degree): 3 Preferred

Bachelor's/Engineer/Graduate + Master's degree or equivalent qualification granting access to doctoral studies with demonstrable knowledge in artificial intelligence, deep learning, computer vision

sampling and artificial INTELligence with Essential Biodiversity Variables". Principal Researcher: Mr. [PhD] Calzada Samperio. Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent