Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data
-
sound enhancement (Siemens Industry Software NV, Müller BBM, Trèves, Phononic Vibes, Saint-Gobain Ecophon, Tyréns, Purifi ApS). Doctoral Candidate 2 (DC2) within VAMOR will develop novel deep learning
-
in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data-driven approach to microstructure imaging” (ADAMI), funded by
-
Programme? HE Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD research aims to develop deep learning-based methods for bias correction of climate model
-
Description The Yves Moreau and Stein Aerts research labs are looking for a shared PhD student to apply deep representation learning and large language models to decipher the genomic regulatory code
-
applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex
-
within the IN-DEEP project you will be at the forefront of developingnew hybrid machine learning (ML) accelerated solvers. A fast-expandingarea of research is the application of ML techniques to predict
-
LanguagesENGLISHLevelGood Additional Information Benefits The requirements for the position are: Obtained a PhD in a relevant field, and high quality publications Machine/deep learning algorithms. Biomedical data
-
RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and
-
in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise in renewable energy (solar and wind energy) is an