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is an advantage. Experience with programming (e.g., R, Python) and statistical analysis is highly desirable. Motivation to work in a collaborative, interdisciplinary research environment and good
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. Proven hands-on experience with (aerial) robot development, and testing. Experience with hardware integration, embedded systems, sensor fusion, CAD design, is highly desirable. Proficiency in C++, Python
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analytical techniques affinity with numerical modelling (Python, R, Aspect) excellent ability to communicate in both written and spoken English good social skills. As a university, we strive for equal
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models, machine learning, infrastructure management datasets, simulation-based decision support, multi-agent systems, or reinforcement learning. Good programming skills, preferably in Python, and
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with consideration of dynamic constraints, perception uncertainty, contact interactions, or real-world deployment. Strong programming skills in C++ and/or Python, with experience in robotic software
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and analytical tools (e.g. Power BI, Excel or similar), together with knowledge of data querying or programming languages (e.g. SQL, Python, DAX, VBA or similar) and data integration concepts Strong
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Holocene lowlands, and translation them into subsurface maps, sections, and schematizations; Proficiency in numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation
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: Experience with one or more general-purpose programming languages, such as Python, and general-purpose deep learning frameworks. Experience with integrating multidisciplinary inputs. Demonstrated ability in
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the position Deep understanding of Linux, Windows, real-time OS, Active Directory/LDAP and other IT enterprise software Proficiency in scripting languages such as Python Very good knowledge of security
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and data acquisition; Overall development and maintenance of the existing Python library used in the SCI-F laboratories; performing digital system programming (microcontrollers and FPGAs) for control