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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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for light-induced dynamical processes, THz pulse emission, ultrafast spectroscopy and theory for current-induced spin dynamics. The research tasks include the development of theoretical models and computer
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Independent work ethic and desire to learn new methods and protocols A willingness to learn basic computer programming Work well with people from various cultures Ability to speak and write fluently in English
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are to train highly skilled young mathematicians across the entire breadth of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and
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analysis of existing long-term biological, chemical and physical monitoring data of German Baltic Sea coastal waters. Compilation and analysis of existing phytoplankton monitoring data with a focus on
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our group "Computer Vision and Machine Learning" in developing AI models and transferring them into production. In the master's thesis "Exploring latent spaces of deep networks for fault analysis in
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Munich as an employer and as a preferred cooperation partner for other research institutions, university hospitals, and companies. A wide range of information services for patients, children, and young
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the organization. Your profile Bachelor's or master's degree in computer science, computer engineering, cybersecurity or a related field and relevant security certifications (e.g., OSCP, CCSP, CISSP, CISM) from a
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classification) have clear limitations, however: they ignore uncertainty, suffer from imbalanced data (long tail, missing age classes), and the non-linear scale of age. At the same time, a recently published study
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data. Results: The work should illustrate which explainability approaches are suitable for transformer models or can be adapted for them. Additionally, the various explainability approaches should be