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Field
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experience: -PhD in Agroecology, Agronomy or related field. -Proved experience as a Crop Modeller in academic and applied settings. -Extensive knowledge of climate change impacts on agriculture and the
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statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist, and DPhil students. To be considered you will hold a PhD in statistics or a closely related field. You will have experience
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analysis using deep learning algorithms Detecting anomalies and dependence structures in high dimensional, high frequency financial data During the project, the PhD students will closely collaborate with
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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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). •Experience with data analyses using R statistical software will be considered advantageous, but not required. If the PhD candidate does not have prior statistical experience with R, he/she will be supported
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).Supervisors team:Université Toulouse III - Paul Sabatier:In Toulouse, the PhD will be part of the Statistics and Optimisation team. This team covers a spectrum from theory to applications. A big part of
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The Lammi Biological Station at the University of Helsinki is excited to announce an opening for a PhD researcher to join the newly formed group of Dr. Caio Graco-Roza. Research Description
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funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description JOB POSITION: PHD JUNIOR
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Keywords: Ultrasound and Vibration, Structural Dynamics, Composite Structures, 3D Printed Structures, Damage, Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics
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, Mathematics, Statistics, Engineering or related fields, giving access to PhD school and NOT to have any kind of PhD degree. Although appreciated, previous research experience (which must be no longer than four