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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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measurements. Electronic Circuits and Architectures (ELCA) Join a pioneering research team dedicated to advancing the design and development of high-performance electronic circuits and systems. You will be part
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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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engineering Engineering » Mechanical engineering Mathematics » Applied mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 13 Apr 2026 - 23
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the research
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Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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colloquia , scientific communication , regular semester lectures , training in teaching , professional qualification courses , and an annual retreat . The course programme includes a high-level review lecture