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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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Department of Management, please visit: http://mgmt.au.dk/ . Further information For further information about the position and the department, please contact Assistant Professor Gabriele Torma, email
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
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Python and LabView programming for developing new codes for data analysis is also needed. Finally, you must be able to communicate clearly, be out-reaching and service-minded as well as be creative
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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of 3D printed hydrogels and cell cultures. Qualifications You have solid physics and mathematics background and is excited about experimental science and advanced data analysis. We expect that you enjoy
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Profile: Documented expertise in computational biology, NGS data analysis, processing of experimental datasets of murine and human origin, network analysis and investigation of multi-omics datasets
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems
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mathematics, data science or a related discipline, together with solid skills in programming and quantitative modelling. An interest in risk analysis, structural reliability or digital twin technologies is