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5 Sep 2026 Job Information Organisation/Company UNICAS Research Field Mathematics » Algebra Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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performance. Their role is both academic and supportive, and the justification for having one can be built on several key points. Skills & Competencies Proficiency in math subjects from pre-algebra to college
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Heilbronn Institute for Mathematical Research | Bristol, England | United Kingdom | about 9 hours ago
colleagues in a supportive and encouraging environment that puts an emphasis on teamwork. Research areas of interest include, but are not restricted to, Algebra, Algebraic Geometry, Combinatorics, Data Science
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Collaboration, including arithmetic statistics, analytic number theory, probability theory of random algebraic structures, and applications of those areas to other areas of mathematics, including algebraic
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Australian National University | Canberra, Australian Capital Territory | Australia | about 9 hours ago
research community, with strengths across pure, applied and computational mathematics. Current research areas include algebraic geometry, representation theory, number theory, algebraic and geometric
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. The positions available are primarily for course lecturers or recitation instructors for Basic Skills (e.g., Elementary Algebra), Mathematics or Liberal Arts, Precalculus, and Calculus I and II. Candidates
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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addresses three questions: 1. Modular meta-theory: formalize the type algebra, subtyping, and tallying so that new constructors (arrays, records, objects) can be added as compositional extensions
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attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which
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, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems