Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Heidelberg University
- CISPA Helmholtz Center for Information Security
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- University of Oldenburg
- University of Tübingen
- Universität Siegen
- Academic Europe
- Catholic University Eichstaett-Ingolstadt
- Center for NanoScience Munich
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- Fraunhofer Institute for Wind Energy Systems IWES
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Karlsruher Institut für Technologie (KIT)
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institutes
- Saarland University
- Saarland University •
- Technische Hochschule Köln
- Uni Tuebingen
- University of Bremen •
- University of Hamburg
- University of Potsdam •
- University of Siegen
- University of Tuebingen
- Universität Bremen
- 29 more »
- « less
-
Field
-
Student assistant (m/f/d)-Multi-Modal Sensor Fusion, Object Detection in Clutter and Object Tracking
an automated evaluation pipeline. Calibrate and time-synchronize multi-camera systems with tactile sensors; define data schemas and ROS 2/Isaac ROS interfaces. Algorithm Implementation: Develop multi
-
with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
-
documenting algorithms High degree of proficiency in spoken and written English What you can expect Fascinating challenges in a scientific and entrepreneurial setting Attractive salary Modern and excellently
-
Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
workflows Deep understanding of machine learning algorithms and modern deep learning fundamentals Excellent programming skills in Python and PyTorch Practical experience with transformer architectures and
-
integrate data, develop novel algorithms/methods and provide quality assurance for this work Independently manage and coordinate research projects on the above-mentioned topics and independently acquire third
-
groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
-
and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification
-
Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
-
for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
-
exploration, optimization, and search algorithms in extremely complex and enormously large spaces motivated by physics and chemistry (RL, BO, Large-Scale Ansatze, …) AI-driven discovery of hardware for some of