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demonstrated through previous engagement. Demonstrated knowledge of statistics and causal inference methods / econometrics. What are we looking for in you? Good collaboration skills as well as ability to work
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lab-equipment performance. Keep track of and log laboratory use (lab booking system). The position may be assigned other tasks if needs and interests of the Department’s activities so require
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evolving baselines and complex, data-intensive settings. The applicant must master theoretical work in the field of change and anomaly detection and estimation, as well as having a strong track record in
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teaching qualifications (minimum formal requirement is a 200 hours pedagogical programme) will be required to obtain such qualifications within a two-year period. Desired qualifications: A good track record
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well as having a strong track record in relation to computational efficiency, which is fundamental in real time processing of streaming data. The main purpose of a postdoctoral fellowship is to provide
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research project focusing on generative approaches to event extraction within the socio-political domain. We seek a highly motivated researcher with a strong track record in NLP. The ideal candidate should
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. FATES simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions by tracking natural and anthropogenic disturbance and recovery. It does this by allowing
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spoken English) . It is preferable that the candidate has (and can document): a strong academic track record experience in collection-based research (both physical and/or digital) teamwork and networking
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defense are eligible for appointment. Fluent oral and written communication skills in English. A strong track record in fundamental research in modelling of biophysical phenomena, capillary flows or wetting
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MIMICS+ module for soil carbon decomposition. FATES simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions by tracking natural and anthropogenic disturbance