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Are you ready to dive into the fascinating world of resilient optical transport networks? We're on the lookout for a talented Postdoc to join our dynamic, international team at the Optical Networks
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arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
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geometry, number theory, and several complex variables. The environment offers regular seminars, collaborative opportunities, and connections to a wide global network. Who we are looking for We are looking
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the complex structure of populations into single-cell components that can be studied individually and collectively. To achieve this, we will apply novel tools based on semi-permeable capsules, including various
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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. The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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. The work will use microorganisms as a starting base, as these are biologically relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance
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relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance. Microorganisms such as bacteria, furthermore, play important roles in all types of niches
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, which is the overwhelming camera technology of today; machine learning with deep neural networks. More details can be found here . The Department of Mathematics at KTH offers a high-class, active research