22 condition-monitoring-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
-
. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
-
passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
-
regular basis with the experimental groups in the initiative. The position requires sound verbal and written communication skills in English. Swedish is not a requirement, but willingness to learn is
-
conducted in a chamber with optical access, where hydrogen-air mixtures of varying homogeneity and flow conditions will be studied at elevated pressures and temperatures. Ignition and flame properties will be
-
commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment
-
three years prior to the application deadline. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*; - experience with supervision
-
The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
-
limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: Experience with synchrotron-based