Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- DAAD
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Saarland University
- University of Tübingen
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- NEC Laboratories Europe GmbH
- Technische Universität München
- University of Potsdam, Faculty of Science
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- 5 more »
- « less
-
Field
-
neuroscience to gain a deeper understanding of the principles and algorithms underlying the computations of visual systems and enabling “robust vision.” The aim is to investigate the fundamental principles and
-
for a student assistant, who will be enhancing existing, prototypically implemented algorithms for 3D calculation. Additionally, an experimental validation system must be assembled and characterized. In
-
combination of cutting-edge sensor technologies, algorithms for highly dynamic applications, and real-time planning. Teaching responsibilities include courses in the university’s bachelor and master programs
-
) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungszentrum Jülich plays a
-
intelligence (AI) has the potential to substantially improve medical care, from early diagnosis to treatment planning and follow-up. Despite rapid technical advances, many AI algorithms in healthcare do not yet
-
. Friesecke. Appointments are initially for one year, and are renewable for a further two years. Main research themes in our group are analysis and algorithm design in electronic structure theory (especially
-
manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently
-
, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
-
physicians. support LIT scientists in processing, analysis interpretation and publication of transcriptomic, epigenomic and other high-throughput data. improve NGS data analysis algorithms and design novel
-
: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic