Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experience in deep learning frameworks - Strong demonstrated communication skills Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
-
, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching
-
optical fibers using physics-informed deep learning experimental and simulation-based investigations of optical diffractive neural networks development and implementation of novel diffractive networks for
-
Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 24 days ago
Project on Clean Aluminium Material Processing As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer
-
computer vision, ideally segmentation and/or quantification of micro-CT data experience developing deep learning-based image analysis methods experience with scientific Python programming experience
-
international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and scientific computing, contributing
-
. The requirements for the position are: Strong background in machine learning and deep learning, with experience in developing and evaluating AI models for biomedical imaging and/or healthcare
-
computer code optimization, development of machine learning solutions, deep learning, numerical optimization, application of advanced statistical methods, and development of scientific software
-
experience with machine-learning or deep-learning methods applied to sequencing data Software development and infrastructures Strong experience in scientific programming (Python and/or C/C++) Command of
-
with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language