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MTB

With a highly interdisciplinary team, our research addresses significant mathematical problems and fundamental questions in medicine and biology.

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CFDMS

In the CFD-MS group we develop novel multiscale models and high-performance simulation algorithms to describe the dynamics of simple and complex fluids from microfluidics up to macroscopic flow conditions.

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CO

Combinatorial optimization problems are ubiquitous in the real-world. Routing, scheduling, location, or cutting/packing, are examples of common problems in this area. Most of these problems are characterized for having a complexity that makes it impossible to solve high-dimensional instances to optimality, and here is where metaheuristics algorithms come to play. Metaheuristic algorithms are a set of techniques and algorithms that, although in most of occasions do not guarantee to find the global optimal solutions, they provide high-quality solutions in affordable computation times.

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WAVE

What these three topics have in common is that they will be studied making a modern use of classical techniques of Harmonic Analysis, such as: Oscillatory Integrals and Gauss Sums to describe the dynamics of vortex filaments, Singular Integral Operators like the Cauchy Integral to study shell interactions for Dirac equations and confinement, and Carleman estimates to obtain lower bounds that eventually lead to prove new uncertainty principles. More concretely,

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QM

Since its origins in the 1920s, Quantum Mechanics has remained one of the most vibrant and intellectually rich areas of research in both Physics and Mathematics. However, since the early 2000s, and with a significant acceleration in recent years, we have witnessed a turning point with the rise of what is now called the second quantum revolution, or Quantum 2.0.

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MATHDES

Principal Investigators:

Michael Barton and David Pardo

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MSLMS

Created in September 2010 and led by Ikerbasque Research Professor E. Akhmatskaya, the MSLMS group was strengthened in 2020 by the joint Oxford - BCAM Severo Ochoa Strategic Lab on Modelling with PDEs in Mathematical Biology coordinated by Prof. J. A. Carrillo (University of Oxford, UK) and Prof. E. Akhmatskaya (BCAM). The research of the group and Lab is complementary (Figure 1).

SCHENK, Cristina

Christina works on Predictive Metabolic Modeling of Microbiomes and Human Metabolism Through Monte Carlo Sampling within BCAM’s group on Modeling and Simulation in Life and Material Sciences. 

Events

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Events

8th BCAM–EHU Summer School on Harmonic Analysis and PDEs: Energy Minimisation in Analysis and Discrete Geometry Takes Place in Bilbao

The summer school took place at the Basque Centre for Applied Mathematics (BCAM) and the University of the Basque Country (UPV/EHU) in Bilbao from 29 June to 3 July, bringing together graduate students and early-career researchers with three internationally recognised specialists in harmonic…

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Marta Aldasoro will defend her thesis on Tuesday, June 9th

The defence will take place at Aula 1.A1, Faculty of Science and Technology (EHU - Leioa) at 16:30

Events

'Villa de Bilbao' 2026 Piano and Violin Competition Celebrates Young Talent

The historic halls of the Bilbaina Society resonated with exceptional youth talent this past weekend as the 2026 'Villa de Bilbao' Piano and Violin Competition officially concluded

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