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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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schizophrenia. Preference will be given to applicants who have received their Ph.D. degrees in computational neuroscience, physics, mathematics, computer science, or related fields within the last 3 years and
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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to the general public Research proposal writing, funding acquisition Other administrative duties, for example related to the organization of a workshop, etc. Your profile PhD in Mathematics, Theoretical
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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data