Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Ludwig-Maximilians-Universität München •
- DAAD
- Technical University of Munich
- Nature Careers
- University of Tübingen
- Dresden University of Technology •
- Leibniz
- Max Planck Institute for Molecular Genetics •
- University of Konstanz •
- University of Münster •
- University of Regensburg •
- University of Stuttgart •
- 2 more »
- « less
-
Field
-
consulting in the area of statistics and ML, entrepreneurship training, the bilateral transfer of methods and problems from industry, and training for AI users from industry. Learn more about the transfer
-
Graduates of the Graduate School for Geoinformatics will apply and develop methods for computer-supported solutions to spatially referenced problems (global, regional, local). They receive specialised
-
(one-time 45-60 minutes) B. Basic Principles seminars (one-time 45-60 minutes) and respective Advanced Method courses (hands-on; one- to two-day courses) such as: Static and perfusion-based ex vivo
-
the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal
-
political science, sociology and economics. Synergies also emerge from sharing methods, such as statistical methods and methods for data collection. The GSBS provides coursework in the respective fields
-
research groups during the first two years of PhD. Rotations are aimed at learning techniques, methods, experimental approaches, and theoretical background, necessary or beneficial for the PhD student and
-
school is on the use of biological and computational methods to explain and predict phenomena in life sciences. This includes aspects of gene regulation and epigenetics, RNA biology, signal transduction
-
from outside the University of Stuttgart can attend courses and seminars specially designed for simulation technology are able to exchange technical and methodical information are integrated
-
computer science, electrical engineering, control systems, or a related field. • Prior experience in reachability analysis, formal verification methods, control theory, or related domains. • Proficiency in
-
. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how