Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
tracking using deep learning methods has been shown to deliver excellent results on selected datasets, experimentalists still struggle to track cells automatically on new datasets: the diversity of
-
until the end of the projects with the possibility to extend the contract as part of other grants within the lab. The requirements for the position are: Machine learning and deep learning algorithms
-
expertise in the field of immunology and bioinformatics and/or mathematical modelling Addition Qualifications: - Experience in applying machine learning, deep learning to immunology - Experience with
-
Duties and Responsibilities Develop novel algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct
-
deep learning, computer vision, or generative AI. Demonstrated experience with one or more deep learning frameworks (e.g., PyTorch, TensorFlow). Demonstrated ability to work with large-scale Earth
-
graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science. Participate in the mentoring of graduate students, postdoctoral fellows, and staff. Participate
-
methods for image-based characterisation of complex structures. Experience with machine learning, image analysis, scientific computing, or data science is advantageous, but the project focuses on
-
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
-
Computational Biology | Seminar “Real-time estimation of outbreak transmission dynamics using deep-learning-based phylodynamics” by Ruopeng Xie Event Pasteur-Roux-Cantarini Postdoctoral Fellowships Call
-
computational text and image analysis; Machine learning, natural-language processing, large language models, or evaluation and auditing of AI and online platforms Causal inference, natural experiments