Beyond Barrels: Diverse Thalamocortical Projection Motifs in the Mouse Ventral Posterior Complex
Rubio-Teves, M Martín-Correa, P Alonso-Martínez, C Casas-Torremocha, D García-Amado, M Timonidis, N Sheiban, F Bakker, R Tiesinga, P Porrero, C Clascá, F The Journal of Neuroscience volume 44 issue 43 e1096242024-e1096242024 (23 Oct 2024)
Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space
Timonidis, N Rubio-Teves, M Alonso-Martínez, C Bakker, R García-Amado, M Tiesinga, P Clascá, F Neuroinformatics volume 22 issue 1 23-43 (21 Oct 2023)
Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain
Timonidis, N Llera, A Tiesinga, P Neuroinformatics volume 19 issue 4 649-667 (11 Oct 2021)
Progress towards a cellularly resolved mouse mesoconnectome is empowered by data fusion and new neuroanatomy techniques
Timonidis, N Tiesinga, P Neuroscience & Biobehavioral Reviews volume 128 569-591 (Sep 2021)
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Electrochemical systems are essential to modern life. They encompass energy technologies like batteries and fuel cells as well as systems for desalination, mineral extraction, and chemical sensors. The fundamental physics of these systems relies on two components: electrodes and an electrolyte. You might be familiar with electrolytes in the context of sports drinks. Fundamentally, a liquid electrolyte, whether in a drink or an electrochemical device, is an ionic salt solution like dissolved sodium chloride.

Mon, 17 May 2027

14:00 - 15:00
Lecture Room 3

TBA

Dr Mariia Seleznova
(TU Darmstadt)
Abstract

TBA

We are currently inviting applications for a Postdoctoral Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate a starting date of 1 December 2026 (or as soon as possible thereafter) and an expected end date of 31 May 2027. There is scope for flexibility in the start and end dates, subject to approval by the department and the funding agencies.

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