Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
against experimental data. Proficiency in Python, together with good software engineering practices such as version control and testing, is expected. Experience with high-rate dynamics, cavitation
-
Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
-
motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
-
Hands-on experience with 3D reconstruction, multi-view geometry, or neural rendering Experience with appearance reconstruction, reflectance estimation, or material/BRDF modeling Proficiency in Python and
-
, ICML, ICLR) Proven ability to conduct independent, high-quality research Proven ability to write well-documented code in Python Strong motivation to work in a collaborative team environment and to
-
analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
-
Required skills Master’s degree in STEM Strong proficiency in Python Practical experience with PyTorch Solid understanding of unsupervised machine learning and deep learning Excellent communication skills
-
disciplines) Good programming skills (Python, MATLAB) Interest in machine learning (ML) and structural mechanics Motivation to work on interdisciplinary research problems Independent and structured working
-
statistical genomics, computational biology, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing
-
Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with