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: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT) with hardware in the loop functionalities to test and validate AI-based solutions
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qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing
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standards and common data models such as OMOP CDM, HL7 FHIR, DICOM, and relevant GA4GH standards Developing and contributing to data catalogue infrastructures that enable dataset discoverability based
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and a passion for investigating the role of the tumor microenvironment, in particular CAF-driven epithelial plasticity, using advanced experimental models. The primary research focus will be to define
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immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples with state
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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involve various aspects of the modeling and the optimal control of active systems. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group
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in the frame of the SUPHA project funded by the Luxembourg National Research Fund (FNR) through the TREK research program. SUPHA goal is to develop and optimise a membrane‑based process that recovers
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without discrimination based on national origin, race, ethnicity, gender, sexual orientation, gender identity, marital status, religion, age, or disability. Applications will be continuously reviewed until
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, nature-based solutions or climate resilience Experience with digital participation platforms, online surveys or citizen science technologies Experience with participatory mapping or spatial approaches