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Field
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9.4. The Interview (INT), with the duration of 20 minutes, will be classified on a numerical scale from 0 to 100 points, applying the following parameters and criteria evaluation, represented in
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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microbiology, biophysics, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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exoplanets, including numerous water world candidates. This project will focus on analysing JWST datasets to identify and characterise the atmospheric properties of water worlds. Key objectives Analyse JWST
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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numerous opportunities for exchange with colleagues working on related topics. For enquiries regarding the position and research topic please contact Prof. Dr. Hinrich Schulenburg: [email protected]
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closely with LULI's exper-imental teams involved in the Taranis project. This thesis focuses on the theoretical and numerical study of parametric instabilities driv-en by broadband, low-temporal-coherence
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coastal sediments and their role in polar biogeochemical processes. Your main responsibilities will include: Sampling and geochemical analysis of Antarctic sediment samples Incubation experiments and stable