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collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical principles that regulate host
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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21 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Luxembourg
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, DRX, XPS, etc.). Experience in Atomic Layer Deposition, mechanical, electrical and/or thermal characterizations of materials, is a plus. High-level scientific and technological track record related
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of materials, is a plus. High-level scientific and technological track record related to material chemistry and/or electroplating is a plus. Strong communication and interpersonal skills; The candidate should be
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
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utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers who are experts in the field. In general, the
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, the valuation of other ES will be performed based on benefit transfer methodologies, considering forest function/flow values obtained in other research context to put into context the value of OFR
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outcomes of this project will help to better retrieve the soil moisture in the presence of vegetation at high spatial resolution and, at the same time, estimate the plant water content. Automatic and