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attend in-person international meetings. You will be part of a leading cohort of early-career researchers studying different aspects of the impacts of climate extremes in Europe, from public health
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to 1D stress-strain paths allowing for injection of non-wetting fluid to test the effect of calcite dissolution on breakthrough. Samples for the oedometric test will be prepared with different pore-fluid
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on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD student working
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an integrated interdisciplinary PhD programme that consists of three main components: 1. An interdisciplinary research project that combines concepts and methods from different fields. 2. A substantial programme
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: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
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statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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proficient programming skills in one of the following: Python, Matlab, C/C++. Employment is contingent upon the candidate’s ability to obtain the required security clearance. See the last paragraph under
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responses of the species in question to different stimuli and putting the results in an ecological context. The project will largely rely on laboratory experiments using image and video detection and
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statistical modelling are essential for this position. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates