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engineering disciplines, including structural mechanics, hydrodynamics and machine learning Strong programming skills in Python and/or MATLAB Experience with scientific computing, CFD/FEM software, potential
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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individuals differ in their susceptibility to dysglycemia, type 2 diabetes, and related complications. A central goal of the group is to move beyond traditional disease classifications and develop a mechanistic
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or simulation tools such as Python, MATLAB, COMSOL or equivalent software. Ability to plan experiments systematically, quantify uncertainty and document results reproducibly. Proficiency in written and spoken
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed
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and transparency for different stakeholders? How can privacy-preserving mechanisms and AI-assisted data engineering support secure and efficient data sharing while fostering trust and responsible data
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing