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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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instruments; Apply laboratory techniques to measure the organic carbon content of soils subject to different treatments; Use standardized rating scales and sampling methods to ensure accurate and consistent
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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setups, including the development of software required to gather and analyse data (using e.g., .Net, Python, LabView); Experience in the operation of common clean room tools used in the nanofabrication
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, biosignals) • Statistical modeling and dimensionality reduction • Python-based scientific computing (NumPy, SciPy, PyTorch/JAX, etc.) Core Research Skills • Privacy and/or sense-of-agency ethical analysis
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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-scale datasets (e.g. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon
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chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial
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bioinformatic WGS data analysis and interpretation from bacterial isolates for AMR surveillance and/or genomic epidemiology. Proficiency in relevant bioinformatics tools and programming languages (e.g., Python, R
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to career stage Excellent written and spoken English Programming skills (preferably Python) and experience with optimization frameworks will be considered an advantage Experience with infrastructure modelling