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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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total at Aalborg University. Profile: The ideal candidate has A PhDdegree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a
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level the candidate is expected to be able to communicate in Danish. Who we are In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation
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laboratory facilities. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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equipment for DNA analyses, computing and advanced microscopy including Raman microspectroscopy. The project is a collaboration between University of Vienna and Aalborg University. Your competencies We seek