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work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money Laundering and Countering the Financing
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(ULB, Belgium) for a research project on the integration of geothermal borefields into district heating and cooling networks. The work will combine the analysis and interpretation of extensive monitoring
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and programmer tool boxes (e.g., debuggers, compilers, software analysis and rewriting tools and techniques), software protection (obfuscation), software hacking (reverse engineering, tampering
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. The candidate will conduct research in archives. Based on an analysis of source material, the strategies developed to reconcile the interests of multiple bondholders will be examined. Specific attention will be
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include regulations, compilations of local legislation and commentaries thereon, as well as rulings by municipal courts. You will conduct research in archives. Based on an analysis of source material
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systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work
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). Background in modeling of dynamical systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and
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, with exciting collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within