Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
-
. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
-
power, energy, space) to develop systems that reliably capture and process input data such as images and speech and provide comprehensible feedback. This topic opens a wide range of possible applications
-
this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
-
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Scientific university degree in neuroscience, psychology, biomedicine, computer science or a related field Experience with imaging procedures (e.g. MRI, fMRI pre-processing) Thorough knowledge of data
-
completed your doctorate in industrial ecology or energy systems analysis You hold a very good degree (master`s or equivalent) in engineering (e.g., energy technology, mechanical engineering, process
-
data to modeling in digital representations to the final visualization and human-machine interaction. We develop modern AI solutions in the areas of 2D/3D image and video understanding, computer vision
-
: Dr. Priya Chudasama) is seeking for the next possible date a Scientist in Computational Biology Reference number: 2025-0155 We are seeking a computational biologist to join the efforts
-
or Mechanical Engineering – strong background in machine learning, deep learning and / or computer vision – good programming skills in Python (and C++) – basic knowledge of optics including concepts like PSF, MTF
-
reconstruction of Solid Oxide Cell (SOC) electrode microstructures. This role is part of the Electrochemical Processing and System Technology department at IET-1, where our team is working to automate electrode