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crop performance under heat stress conditions analyse large datasets using statistical and computational tools to identify key phenotypic traits associated with heat tolerance collaborate with
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activities Prepare quality manuscripts for submission in high-impact journals. Performs work activities relevant to the role's key accountabilities as approved by the Supervisor and commensurate to the role's
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python and/or MATLAB skills extensive experience with use of commercial or open source electromagnetic solvers experience with large scale numerical optimizations on high performance computers excellent
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Application Deadline 17 Mar 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff