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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
must have formal training in a quantitative discipline, with either a Bachelor's or Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, Mathematics, Statistics, or a related field
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. Appointment and continued employment are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Experience in bilingualism and language research, using neuroimaging methods (EEG, fNIRS
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at the University of Luxembourg brings together researchers from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close
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the KDSC Data Engineer. Required Qualifications A PhD in economics, public policy, political science, geography, sociology, or demography, with an emphasis on quantitative methods. Experience with
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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui
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-novation, value creation, stakeholder engagement, and the development and validation of methods and tools for circular transitions. Your Profile We are looking for a candidate who has: A PhD degree in Design
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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. The postdoctoral associate will be expected to work both collaboratively and independently on research projects, advancing computational methods using machine learning, developing automated pipelines for data
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of distributed-memory systems and many‑core architectures. Preferred Qualifications: Formal Methods: Experience with automated reasoning or verification tools (e.g., Z3, TLA+, LEAN) to ensure correctness