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Position: PostDoc in Bioinformatics/Machine Learning
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: We seek a highly motivated bioinformatician, biostatistician or machine learning scientist who is well versed in the statistical analysis of large-scale biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods and machine learning. The project will involve conducting integrative analyses of biomedical datasets, focusing on omics and clinical data, and digital sensor or neuroimaging data for neurodegenerative diseases
Requirements: The candidate will have a PhD or equivalent degree in bioinformatics, computational biology, machine learning, biostatistics or related subject areas; Prior experience in large-scale data processing and statistics/machine learning is required; A track record of previous publications in bioinformatics analysis of large-scale biological data (e.g. omics, clinical, structural bioinformatics, neuroimaging data) should be outlined in the CV; 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; Fluency in oral and written English
   
Text: UOL04155 31-Dec-2099 The University | About us... The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine. Your Role... We seek a highly motivated bioinformatician, biostatistician or machine learning scientist who is well versed in the statistical analysis of large-scale biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods and machine learning. The project will involve conducting integrative analyses of biomedical datasets, focusing on omics and clinical data, and digital sensor or neuroimaging data for neurodegenerative diseases. This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators. We will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in common neurological disorders. What we expect from you… The candidate will have a PhD or equivalent degree in bioinformatics, computational biology, machine learning, biostatistics or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required A track record of previous publications in bioinformatics analysis of large-scale biological data (e.g. omics, clinical, structural bioinformatics, neuroimaging data) should be outlined in the CV 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 Fluency in oral and written English We offer... A fully funded position with a highly competitive salary An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding Opportunity to work closely with international academic partners State-of-the-art research facilities and computational equipment In Short... Contract Type: Fixed Term Contract 24 Month (extension possible) Work Hours: Full Time 40.0 Hours per Week Start date: As soon as possible Location: Belval Job Reference: UOL04155 How to apply... Applications should contain the following documents (combined into one pdf document): A detailed Curriculum vitae A motivation letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date Copies of degree certificates and transcripts Name and contact details of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. In return you will get… Multilingual and international character . Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR). A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure. A partner for society and industry . Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … Find out more about the University Addresses, maps & routes to the various sites of the University Further information... For further information, please contact: Enrico Glaab enrico.glaab@uni.lu
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