Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
-
automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
-
, the University boasts one of the largest technology-oriented research environments in Europe. Junior Professor (W1, tenure track W2) in Algebra at the Faculty of Mathematics, Computer Science and Natural Sciences
-
space: methods of digital humanities, digital hermeneutics, geographic information science, geocultural computing, geodata analysis, spatial humanities, environmental humanities, geographic discourse
-
students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
-
The »Q uantum Computing« team at the Fraunhofer Institute for Industrial Engineering Engineering IAO is looking for motivated talents who want to work at the interface of artificial intelligence
-
to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Vodafone Chair of Mobile Communications Systems offers two positions as
-
Dust Analyser onboard the Cassini space probe - Collaboration with a computer scientist who is developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra
-
request. We welcome applications from all qualified candidates, regardless of gender. RWTH Aachen University is recognized as a familyfriendly institution and provides a dual career program to support
-
of multi-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome, and transcriptome data) by using efficient algorithms