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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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comparative data by fitting Ornstein–Uhlenbeck models with stepwise AIC. Methods in Ecology and Evolution. Klingenberg, C. P. (2016). Analyzing fluctuating asymmetry with geometric morphometrics: concepts
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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with mathematical modeling and comfort with formal reasoning across algebraic, geometric, and analytic frameworks. A deep foundation in linear algebra, tensor calculus, and functional analysis; and the
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-Reflective Sensor Oculography (PSOG), addressing calibration and cross-user generalization challenges through the use of hypernetworks. PSOG signals are highly sensitive to geometric, anatomical, and
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Omer Ben-Neria Logic, set theory Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis
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working in geometric analysis, mathematical physics, partial differential equations and probability, with whom the candidates will be able to interact. Complete applications should include a detailed
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parametric winglet geometry model. The developed tool is meant to be able to generate winglet shapes, for a given wing planform, using a set of geometric parameters, which can be incorporated in
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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. Specific Requirements Knowledge: Interoperability with IFC formats. Digital Twins. Evaluation of the geometric and semantic representation of the models. Relational databases. Professional Experience: As a