124 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions in Luxembourg
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unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating research on microbial mechanisms, microbiome dynamics in various
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
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, analysis of samples using standard and high throughput biomedical methodologies Analyze and interpret data and results, particularly in collaboration with computational biology experts and prepare
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Applications should include: A copy of the academic degrees awarded and, where candidates are currently enrolled to an academic programme leading to a Master’s degree, the expected date
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. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Doctoral Researcher Job Reference: UOL07776 The yearly
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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of Life Sciences and Medicine (DLSM). The successful candidate will establish and lead an internationally recognized, independent pharmacological research programme in an area of biomedical relevance
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: Software engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data PhD Student Role: Under the direction of their supervisor