With the topic "Machine Learning for Chemistry", this CZS Summer School 2024 will cover multiple aspects of this young interdisciplinary research area, e.g. molecular design and understanding, ML-potentials for atomistic simulations, synthesis predictions, and self-driving labs. We want to address young researchers at early career stages specifically, i.e. undergraduate students in informatics, chemistry, and the material sciences as well as first and second-year PhD students. The program will contain both lecture-type presentations as well as interactive formats such as a lab visit, hands-on tutorials, and a poster session in which the participants can present their own research. Along with the scientific program, we will organize a side program consisting of a trip to Heidelberg including a visit of the castle, a social dinner as well as a public evening including a panel discussion on the topic "Machine Learning in Science - Hype or Future?".

Diese Veranstaltung richtet sich an Studieninteressierte, die sich über die Bachelorstudiengänge „Angewandte Geowissenschaften“, „Geoökologie“ und „Geodäsie und Geoinformatik“ am KIT informieren möchten.   Themen: Allgemeines zum Studium, Auswahlverfahren, persönliche Voraussetzungen, Studieninhalte Bachelor- und Masterstudium, exemplarische Stundenpläne, Berufsbilder.   Die Inhalte orientieren sich an den Bedarfen der Teilnehmenden. Aktive Beteiligung und Fragen sind ausdrücklich erwünscht.   Die Veranstaltung findet in deutscher Sprache statt. Eine Anmeldung ist nur bis 12.00 Uhr am Vortag möglich.   Hinweis: Die Veranstaltung findet über zoom statt. Zeitnah vor Veranstaltungsbeginn wird der Link zum Meetingraum per Email an die bei der Anmeldung benutzten Emailadresse verschickt. Um an der Veranstaltung teilzunehmen, wird ein Laptop, Tablet oder Handy mit Internetzugang, Mikrofon und Kamera benötigt.

Have you just started your doctoral research period? And would like to know more about the services offered at KIT for doctoral researchers? Then come and join other German and international KIT PhD students at the welcome event for doctoral researchers. In a presentation, we will give you plenty of information on how to best profit from the doctoral research period (including information on research stays abroad and services offered at KIT). In addition, there will be two brief testimonials by more advanced fellow researchers. They will share their experiences with you concerning doing the PhD at KIT and will be happy to answer your questions. At the end of the English-language event, there will be time for some networking during a get-together involving snacks and drinks. We would in particular like to welcome those who have recently started their doctorate – however, the event is open to all German and international KIT doctoral researchers. The Welcome Event takes place four times a year.

The Helmholtz project DACStorE - A Comprehensive Approach to Harnessing the Innovation Potential of Direct Air Capture and Storage for Reaching CO2-Neutrality (see website link below) is organising an information day on direct air capture (DAC) on September 10, 2024 at Karlsruhe Institute of Technology | KIT Campus North | Foyer of the Zeiss Innovation Hub - Hermann-von-Helmholtz-Platz 6, 76344 Eggenstein-Leopoldshafen. The target groups of the information day therefore include scientists from other disciplines as well as the interested public, elected officials and decision-makers who would like to find out more about DAC, and companies that are interested or already active in DAC. The program includes presentations on the technological development status of the main DAC processes from recognized experts from inside and outside the consortium and the opportunity for detailed discussions with the scientists working in the project as part of a poster session. The poster session is open to all interested scientists. Poster submission is possible through the registration link below.

With the topic "Machine Learning for Chemistry", this CZS Summer School 2024 will cover multiple aspects of this young interdisciplinary research area, e.g. molecular design and understanding, ML-potentials for atomistic simulations, synthesis predictions, and self-driving labs. We want to address young researchers at early career stages specifically, i.e. undergraduate students in informatics, chemistry, and the material sciences as well as first and second-year PhD students. The program will contain both lecture-type presentations as well as interactive formats such as a lab visit, hands-on tutorials, and a poster session in which the participants can present their own research. Along with the scientific program, we will organize a side program consisting of a trip to Heidelberg including a visit of the castle, a social dinner as well as a public evening including a panel discussion on the topic "Machine Learning in Science - Hype or Future?".