Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Universidade de Coimbra
- University of Texas at Austin
- University of Texas at El Paso
- Avans University of Applied Sciences
- Babes-Bolyai University
- CNRS
- Institutionen för akvatiska resurser
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Nature Careers
- Swedish University of Agricultural Sciences
- The University of Iowa
- University of Cambridge;
- Uppsala universitet
- 3 more »
- « less
-
Field
-
Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
algorithms to estimate human shape and motion in images, videos and RGB-D sequences. Our approaches define the current state of the art, and we are constantly pushing these methods and systems in order to
-
involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
-
from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
-
periods, they must constantly understand their surroundings to make smart decisions and complete tasks, such as moving safely without collisions or handling objects. Recent methods for robotic situational
-
different methods of analysis used in the community, in particular linguistic probes (classifiers trained to predict certain linguistic properties from representations discovered by neural networks
-
qualitative, quantitative, and/or mixed-methods research designs Demonstrated ability to collaborate effectively with educators and community partners Experience with externally funded research or proposal
-
our vision - Viable fish stocks in healthy waters. We are growing, and now look for employees who want to develop and make a difference together with us. We are looking for a dedicated and knowledgeable
-
core network while utilising a virtual template from experiments for cellular growth and division will be used. In addition, AI methods for generating regulatory hypotheses between genes, hormones and
-
on increasingly complex questions where the interplay between different phases is crucial for success. Interface systems—whether involving material transitions, biological systems, energy-conversion devices
-
. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling