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microfluidics, kinetic data analysis, Python scripting, protein purification, and cell culture are beneficial The candidate should have an interdisciplinary aptitude, strong organisational and interpersonal
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development of behavioral paradigms for assessing social learning
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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and Innovation, the successful candidate will work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money
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well as computational analysis to uncover biophysical principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine