Sort by
Refine Your Search
-
Professor Divi Cornec (head of the institute). Candidate profile and skills Applicants must hold a PhD with a solid background and a proven track record in bioinformatics and immunology. They should have
-
to teaching Opportunity to apply for own funding Your profile PhD degree in developmental-/ cell biology, biochemistry, or related disciplines Must have strong experience with at least two of the methods
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
-
Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
-
-career researchers who have completed their doctorate (or PhD) and post-doctorate elsewhere than at the Observatoire de la Côte d'Azur and wish to develop their research program around the theme of Earth
-
history in Luxembourg and the Greater Region For further information please contact: Your profile PhD in history, or alternatively a PhD in humanities or social sciences with experience in conducting
-
facilities. Skills/Qualifications PhD in microbiology, molecular biology, or related field Strong experience in bacteriology and molecular mechanisms of pathogenesis Previous experience with insect models and
-
of the Research Group "Contemporary History of Luxembourg" For further information about this position, please contact Christoph Brüll: Your profile PhD in History, or a related field Demonstrated experience in
-
essential. Proficiency in Linux/Unix is also required. • Required experience: PhD. • Duration of the contract: 24 months, starting in early 2026 Please send CV, cover letter and at least two referees to
-
Accountabilities PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages