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1
IPS 2023 — 9th International Workshop and Summer School on Plasma Spectroscopy
06 Jun 2023 - 09 Jun 2023 • Greifswald, Germany
2
8th European Crystallography School 2023
18 Jun 2023 - 24 Jun 2023 • Berlin, Germany
Organizer:
HZB – Helmholz Zentrum Berlin
Abstract:
The school will be directed to undergraduate, graduate, postgraduate and young scientists from different fields (biology, biochemistry, chemistry, material science, physics, etc. ) who are eager to learn more about the possibilities of crystallography. Fundamental lectures will be taught during the mornings. Afternoons will be dedicated to lectures on applications and hands-on tutorials.
Event listing ID:
1531692
3
DisoMAT 2023 — 2nd International School and Conference on Disorder in Materials Science
19 Jun 2023 - 21 Jun 2023 • Plankstetten – hybrid, Germany
Abstract submission deadline:
19 Jan 2023
Event listing ID:
1531757
4
Summer School — TQFTs and their connections to representation theory and mathematical physics
19 Jun 2023 - 23 Jun 2023 • Bonn, Germany
Organizer:
Hausdorff Center for Mathematics – hcm (Universität Bonn)
Abstract:
TQFTs (Topological quantum field theories) are of central importance in several areas of mathematics and physics. From a mathematical point of view (going back to Atiyah), a TQFT is a symmetric monoidal functor from the cobordism category to some symmetric monoidal category. It can thus be seen as a representation of a fundamental geometric category on a target category and thereby organizes interesting algebraic structures, e.g. representations of mapping class groups, in terms of cobordism categories. In recent years, TQFTs have appeared in many more mathematical areas such as algebraic topology (the study of 4-manifolds) or algebraic geometry (the study of moduli spaces). In this Hausdorff school we would like to explore various facets of TQFTs related to representation theory and mathematical physics. The interplay of representation theory and TQFT is, at least, two-fold: on the one hand side, representation theory provides input data to construct TQFTs. The most famous example is given by the quantum groups Uq(sl(2)) from which a modular tensor category and thus a Chern-Simons type TQFT can be constructed. On the other hand, TQFTs explain and organize structures appearing in representation categories, for example character varieties and their quantizations.
Event listing ID:
1531521
5
Hausdorff School — Recent advances in quantum and statistical mechanics
26 Jun 2023 - 30 Jun 2023 • Bonn , Germany
Abstract:
The school aims at introducing PhD students and young researchers to some among the recent developments in mathematical physics, with an emphasis on many-body problems, quantum mechanics and quantum field theory. In recent years new analytical and probabilistic methods have been developed within these fields, allowing the mathematical physics community to advance in the understanding of the statistical mechanics properties of many-body and field-particle systems. The goal of the school is on the one hand to present such methods and on the other hand to provide an environment for the exchange of ideas among researchers with different mathematical background and research focus.
Event listing ID:
1530752
6
2023 Summer School on Methods of Effective Field Theory and Lattice Field Theory
09 Jul 2023 - 21 Jul 2023 • Bad Honnef, Germany
Abstract:
The annual String Phenomenology conference discusses the latest developments at the interface between string theory, particle physics and cosmology.
Event listing ID:
1506930
7
ExcitingNano — Bad Honnef Physics School - Exciting nanostructures: Characterizing advanced confined systems
30 Jul 2023 - 04 Aug 2023 • Bad Honnef, Germany
Organizer:
DPG
Abstract:
In this summer school the basics of the preparation of nanostructures, the resulting physical properties, their optoelectronic applications, and theoretical methods will be reviewed. A range of characterization techniques with a special emphasis on spectroscopy will be introduced. The summer school provides an ideal forum for Master and PhD students to become acquainted with the topic and to initiate further discussions. The participants are expected to present their own work in the form of posters and are given the chance to introduce it also in the form of flash presentations. We will invite leading experts in nanostructure preparation, spectroscopy, electrical transport, and related fields.
Contact:
Email: christian.klinke@uni-rostock.de
Topics:
Nanomaterials, Nanoscience, Colloidal Synthesis, Spectroscopy, Transport, Theory
Event listing ID:
1543033
8
JCNS Labcourse — 25th JCNS Laboratory Course Neutron Scattering
04 Sep 2023 - 15 Sep 2023 • Juelich/Munich, Germany
Organizer:
Juelich Centre for Neutron Science (JCNS)
Abstract:
Juelich Centre for Neutron Science (JCNS) is happy to announce that application is open for the 25th Laboratory Course Neutron Scattering taking place September 4 - 15, 2023 in Juelich and Garching/Munich, Germany. The course will consist of one week of lectures and exercises and one week of practical training at the neutron scattering facilities of Heinz Maier-Leibnitz Zentrum MLZ. It is the aim of the course to give a realistic insight into the experimental technique and its scientific power.

Students of physics, chemistry, materials science and biosciences are invited to apply for participation. There is no tuition fee. Accommodation and meals during the course will be provided by JCNS. Travel expenses will be reimbursed within reasonable limits.

Deadline for application is May 21, 2023.

Contact:
Email: neutronlab@fz-juelich.de
Topics:
neutron scattering, soft matter, material science, crystallography, neutron diffraction, small angle neutron scattering (SANS), magnetic scattering, structural analysis, neutron reflectometry, GISANS, magnetic nanostructures, inelastic neutron scattering, strongly correlated electrons
Event listing ID:
1543383
Event website:
9
Advanced Deep Learning — Active Training Course
25 Sep 2023 - 29 Sep 2023 • Meinerzhagen, Germany
Organizer:
The Active Training Course "Advanced Deep Learning" is hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.
Abstract:
The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from Monday 25.9.23 to Thursday 28.9.23. The course includes a challenge to be worked out and presented by participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning. 
Event listing ID:
1536104


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Last updated: 8 February 2023