Sort by
Refine Your Search
-
. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience of working with molecular questions in the biosciences An interest and
-
strong computational–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry
-
of Information Technology, and will be conducted alongside other researchers at the Centre for image Analysis who develop computational methods with a particularfocus on deep learning and image analysis. The project relies
-
–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation
-
breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and
-
connectivity operate as one. You will join an interdisciplinary and collaborative research environment that values creativity, initiative, and experimentation. We combine deep systems research with hands
-
employment decision is made. Doctoral degree in remote sensing, geoinformatics, computer science, or a closely related field. You have experience developing and applying deep learning models for Earth
-
will work with tools such as AlphaFold and RosettaFold-diffusion and apply deep learning to address the next challenges in dynamics and the design of novel protein-based therapeutics. As postdoc, you
-
military service. The following experience will strengthen your application: Experience of working with modern deep learning frameworks and large language models, Experience in any of the three priority
-
biomedical sciences. Experience with sequencing data preprocessing, RNA splicing, deep learning and analysis of human multi-omics data is an advantage. The candidate should exhibit a high degree of