Postdoc in Artificial Intelligence and Machine Learning

Descrizione

Postdoc in Artificial Intelligence and Machine Learning Sintesi in italiano (traduzione automatica): Il Luxembourg Centre for Systems Biomedicine (LCSB) dell'Università del Lussemburgo cerca un bioinformatico per un progetto sulla studio dei disturbi neurologici e immunologici. Il candidato condurrà analisi integrative di dataset biomedici, con particolare attenzione ai dati omici, implementando pipeline di analisi software e interpretando dati clinici. È richiesta una laurea di dottorato in bioinformatica, intelligenza artificiale, biostatistica, biologia computazionale o un campo correlato. Sono necessarie competenze in analisi statistica e machine learning, oltre a esperienza con dati biomedici su larga scala. È fondamentale una buona padronanza dell'inglese e capacità di lavorare in un ambiente interdisciplinare. Lavorerà in un ambiente di ricerca moderno e dinamico, con forti legami con il mercato del lavoro lussemburghese. About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico . We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role The project is on the study of neurological and immunological disorders: The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, using the known grouping structures among features in the omics data and dedicated approaches for structured data analysis With the help of statistics, artificial intelligence and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations For further information, please contact Enrico Glaab : Your profile We seek a bioinformatician or computational biologist who is well versed in the machine learning and statistical analysis of biomedical data, the use of artificial intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial intelligence / machine learning, biostatistics, computational biology, or related subject area A track record of previous publications in bioinformatics analysis of large-scale biomedical data, e.g.: omics, clinical, structural bioinformatics data, which should be outlined in the CV Prior experience in large-scale data processing and statistics / machine learning is required Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research Languages: Excellent command of English (C1) is required We offer A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs How to apply Applications should include: Curriculum Vitae Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Annuncio in inglese. Fonte: Euraxess (Commissione europe