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Field
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: Running and adapting state-of-the-art protein design models. Writing and applying Python scripts for workflow automation and data filtering. Contributing to computational design challenges involving
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, Environmental Engineering, or a closely related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling
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related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling of water systems is required, and
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with one or more programming languages commonly used in Human-Robot Interaction research (Python, JavaScript) Desirable qualifications: You have experience programming robots (e.g. using ROS) You have an
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if there are special grounds, for example, different types of statutory leave of absence. Competence requirements for the position: Strong programming skills (FORTRAN95, C++ or python) and experience with developing
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, for example, different types of statutory leave of absence. Competence requirements for the position: Strong programming skills (FORTRAN95, C++ or python) and experience with developing high-frequency 2D or 3D
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are required. Advanced user skills in electronic structure calculations and experience with programming (e.g. in Matlab or Python) are required. Additional qualifications Consideration will also be
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of genotype and DNA sequence data, simulations programming/scripting languages such as R or Python, working with data in a Linux environment. Great emphasis will be placed on personal qualities such as
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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the following skills and experiences: Excellent communication skills in written and spoken English. Excellent coding skills in R, Python, or equivalent language. Research interest in causal inference (see e.g