Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
-
-based carbon models based on unique datasets from long-term experiments and the national soil monitoring network for arable mineral soils. Your work will be based on methodological research for developing
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
-
scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
-
. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
-
, progression, and target engagement; which directly feed into our large-scale longitudinal datasets. The PhD/PostDoc project. You will be integrated in several translational projects as the lead person to model
-
for pharmaceutical lead discovery using mRNA display Base Salary, level A $105,314 - $116,679 p.a. + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) is currently seeking
-
Applications are invited for a 1-year post-doc position on modeling of two-phase flows for green hydrogen application at the Department of Mechanical and Production Engineering, Aarhus University
-
The Department of Environmental Science at Aarhus University invites applications for a postdoc position in climate modelling. The position is part of the research project ArcticPush, which
-
Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
social relevance of the project. Your responsibilities: Development of new strategies to perform global sensitivity analysis using physics-based machine learning methods Development of non-intrusive model