Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Leibniz
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Max Planck Institute of Geoanthropology, Jena
- Ruhr University
- University of Tübingen
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- 1 more »
- « less
-
Field
-
Transmission and processing of live measurement data from laboratory setups, as well as storage in databases, and live analysis and visual presentation Active participation in innovative projects based on open
-
to visualize and develop future iterations of the AMC Edu:Lab design. You will also contribute to our wide-scale visual presentation. Specific tasks include: ● Create 3D visual renders of the AMC Edu:Lab’s
-
Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | about 8 hours ago
optimize bioinformatic tools, databases and workflows Collaborate with researchers to design experiments and analyze results Develop custom scripts and algorithms for data processing and visualization Your
-
formats, ensuring data quality and plausibility, linking entities across sources, integrating spatial and demographic information, and providing structured access for analysis and visualization. This thesis
-
applications from designers and design researchers who can envision, visualize and make tangible complex scenarios for uncertain futures. About the Munich Design Institute: The newly established Munich Design
-
, visualizing data, if necessary crawling and scraping data Applying (implementation of common ML methods such as hyperparameter optimization, binary/multi-class/multi-label classification, ensemble methods
-
, the corresponding methods should be extended, if necessary, to be understandable for non-experts as well. This can be achieved, for example, thru visualizations or the automated extraction of the most important input
-
execution of experiments in the field of Machine Learning (ML): cleaning, preparing, splitting, visualizing data, if necessary crawling and scraping data. Applying (implementation of common ML methods such as
-
Integration of simulation and measurement data into interactive or VR environments Data processing, signal analysis, and visualization (e.g. in Python / MATLAB) You are not expected to be an expert in all three
-
cultivation, and PV performance at different sites. You collect sensor data, preprocess the data, and analyze it. What you contribute You are studying mechatronics, microsystems technology, computer