-
), or be close to completion, in a relevant subject such as: Engineering; Operational Research; Applied Mathematics; Computer Science; Systems Engineering; Data Science; or a closely related discipline. You
-
conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
-
Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
-
close to completion) in a relevant subject, such as computer science, embedded systems, robotics, mechatronic engineering, or closely allied topics, or be able to demonstrate a comparable level of
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
-
Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
-
. About the Role This is a Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of a substantial component of a UKRI Future Leaders
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
-
within a major externally funded research programme in soil science. You will lead the delivery of a substantial component of a UKRI Future Leaders Fellowship, delivering field, laboratory and experimental
-
Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally