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Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional
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University of Texas at El Paso, Mathematical Sciences Position ID: 3282 -PRA [#26544] Position Title: Position Type: Postdoctoral Position Location: El Paso, Texas 79968, United States of America
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surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
Description Two Postdoctoral Positions at The University of British Columbia Department: Mathematics (A) Postdoctoral research fellow in mathematical modelling and control theory in sustainable fisheries
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RIKEN, Center for Interdisciplinary Theoretical and Mathematical Sciences Position ID: RIKEN -iTHEMS -PD [#30132] Position Title: Position Location: Wako, Saitama 351-0198, Japan [map ] Subject
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance