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, finite-size particles transported by turbulent flows display complex dynamics that remain only partially understood. When particles possess inertia, they do not follow fluid trajectories and interact with
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about mathematical systems and control theory? Do you want to develop cutting
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Systems, Statistics and Applied Statistics, Numerical Analysis, Probability, Algebraic Combinations and Discrete Mathematics, Real Analysis, Complex Analysis, Geometry, Optimization, and both Elementary and
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: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications Delivery and support of mathematical
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(Hamenstaedt), Complex Algebraic Geometry (Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core
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IC or LC will be used for the selective detection of fluorinated species by ICP-MS. To this end, approaches involving the formation of BaF+ complexes will be implemented. Another technique, namely IC
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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.) Qualifications High school diploma or equivalent; pursing degrees in Mathematics, Data Management, IT, Business, Computer Science or related fields preferred. Experience with data entry, reporting, and analysis