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: A small, international team with open communication and flat hierarchies Specializes in machine learning and data mining for plant genomics Committed to interdisciplinary work combining genetics, data
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. The position is to be filled as soon as possible. The WST research group focuses on research in process mining, which revolves around the data-driven analysis of organizational processes. At WST, we offer
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-initiation-and-propagation For further information: For further information about the position, please contact: Baptiste PIERRAT - Research Engineer, PhD Email: baptiste.pierrat@mines-stetienne.fr For all
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and engaging
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hyperspectral imaging) with in situ measurements. Assess the influence of the rock gypsum layer on soil salinity at different depths across Sehb El Masjoune. Conduct field soil surveys to collect data
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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of agricultural in dry lands and marginal environments, animal value chain, water and energy sustainability, biorefinery and bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining
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graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection. Background in graph theory, graph learning/inference, and graph mining. PhD must have
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FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria It is expected that the candidate holds a PhD degree in chemical, or material engineering, or in chemistry or physics with a