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Field
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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resource-use efficiency of the greenhouse, e.g., maximizing the kg of food produced per unit of energy, requires growers to consider a complex relationship between the short- and long-term consequences
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a complex research environment. Requirements for the position are: The position requires that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on
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world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health
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resource-use efficiency of the greenhouse, e.g., maximizing the kg of food produced per unit of energy, requires growers to consider a complex relationship between the short- and long-term consequences
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission