HGS MathComp - Where Methods Meet Applications
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.
HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.
Upcoming Events [see all...]
Speaker: Andreas Wygrabek
Location: Online
Registration: Please register on the event website
Organizer: Graduate Academy
Location: Online
Registration: Please register on the event website
Organizer: Graduate Academy
ECTS: 3
This course is part of the course program of the Graduate Academy. Please note that this course will be held in German.
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
Mit dem Fokus auf den Bereich Datenanalyse vermittelt dieser Kurs die Grundlagen in der Programmiersprache R. Von der Installation, den wesentlichen Objekttypen und Programmierbasics über einfache Analysen und Visualisierungen erhalten die Teilnehmer:innen in diesem Training alle Voraussetzungen, um erste Anwendungen in R zu schreiben.
Die Teilnehmer:innen sollen bereit sein, während des Kurses ihre Kamera einzuschalten und ihren Bildschirm zu teilen.
Die Teilnehmer:innen sollen bereit sein, während des Kurses ihre Kamera einzuschalten und ihren Bildschirm zu teilen.
27.11.2024
16:15
16:15
Theory & Methods
Digital Innovation at Merck – Introduction of new digital technologies in a large enterprise organization
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IWR Colloquium
Speaker: Dr. Philipp Harbach • Global Head of Group Digital Innovation, Merck KGaA
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: No registration required
Organizer: Interdisciplinary Center for Scientific Computing (IWR)
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: No registration required
Organizer: Interdisciplinary Center for Scientific Computing (IWR)
ECTS: 1 for 5
The IWR Colloquium serves as a platform for the interdisciplinary dialogue which characterizes the field of scientific computing. Every semester, members of the IWR and its affiliated institutions as well as renowned international experts are invited to present their latest scientific results and discuss the upcoming challenges in the field of scientific computing.
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom. For more information please visit the website of the colloquium.
The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom. For more information please visit the website of the colloquium.
Everyone's talking about digitalization. But before you can talk about innovation, you have to adopt these technologies. In order to understand which technologies will have a real impact on a company's product portfolio, technologies must be analyzed and understood. Only then can they be scaled into business processes. At Merck, the interface between business and technology is critical. A few examples illustrate how innovation can be achieved through digital technologies such as AI and computational science.
Dr. Philipp Harbach is a dedicated digital innovator, currently serving as the Global Head of Group Digital Innovation at Merck KGaA, Darmstadt, Germany. Alongside his diverse team of professionals, he focuses on driving digital innovation using modern data science and computational modeling methods. Prior to his current role, Dr. Harbach served as the Head of Digital Chemistry, where he explored the development of cutting-edge digital technologies and products for chemistry-related use cases.
He first joined Merck in 2014 as a Laboratory Head, where he established a foundation for computational chemistry within the Electronics business, specifically in the field of organic light-emitting diodes (OLEDs).
Dr. Harbach earned his PhD in theoretical chemistry from the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University in 2013. His research focused on developing and applying advanced theoretical methods for
molecular systems in photochemistry, which resulted in several international publications and citations.
Dr. Philipp Harbach is a dedicated digital innovator, currently serving as the Global Head of Group Digital Innovation at Merck KGaA, Darmstadt, Germany. Alongside his diverse team of professionals, he focuses on driving digital innovation using modern data science and computational modeling methods. Prior to his current role, Dr. Harbach served as the Head of Digital Chemistry, where he explored the development of cutting-edge digital technologies and products for chemistry-related use cases.
He first joined Merck in 2014 as a Laboratory Head, where he established a foundation for computational chemistry within the Electronics business, specifically in the field of organic light-emitting diodes (OLEDs).
Dr. Harbach earned his PhD in theoretical chemistry from the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University in 2013. His research focused on developing and applying advanced theoretical methods for
molecular systems in photochemistry, which resulted in several international publications and citations.
Speaker: New HGS MathComp PhD fellows
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Organizer: HGS MathComp
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Organizer: HGS MathComp
ECTS: 0
Introduction of new HGS MathComp members and their PhD projects.
The BlueSheet Meeting will be held online for all new members of HGS MathComp on December 10, 2024 between 14:00 - 15:00.
The BlueSheet Meeting will be held online for all new members of HGS MathComp on December 10, 2024 between 14:00 - 15:00.
14:30 Lina Deschamps (Supervisor P. Albers)
“On a hyperkähler view of the magnetic geodesic flow on CP^n“
14:50 Hans Reimann (Supervisor C. Strauch)
“Developing and Incorporating Strategies for Data-Driven Control and Data Assimilation”
15:10 Margot Chazotte (Supervisor D. Schapiro)
“Spatial imaging in the gastrointestinal tract”
15:30 Jean Radig (Supervisor C. Herrmann)
"AI for patient-specific cancer cure"
15:50 Daniel Galperin (Supervisor U. Köthe)
"Invertierbare Neuronale Netze für ein verbessertes Verständnis von Infektionskrankheiten"
“On a hyperkähler view of the magnetic geodesic flow on CP^n“
14:50 Hans Reimann (Supervisor C. Strauch)
“Developing and Incorporating Strategies for Data-Driven Control and Data Assimilation”
15:10 Margot Chazotte (Supervisor D. Schapiro)
“Spatial imaging in the gastrointestinal tract”
15:30 Jean Radig (Supervisor C. Herrmann)
"AI for patient-specific cancer cure"
15:50 Daniel Galperin (Supervisor U. Köthe)
"Invertierbare Neuronale Netze für ein verbessertes Verständnis von Infektionskrankheiten"