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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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) Proficiency in R and/or Python programming for data analysis Strong written and verbal communication skills, including scientific writing Demonstrated previous experience and competency in the management
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to cloud development (e.g., Python, Java, Go). Demonstrated ability to design and build secure, reliable, and scalable systems. Excellent problem-solving, analytical, and critical thinking skills. Strong
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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identity governance systems, including Saviynt or similar. Strong scripting and automation skills (e.g., PowerShell, Python, SQL). Knowledge of hybrid identity models (on-prem AD and Azure AD). Experience
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skills of single cell genomics, transcriptomics and epigenomics experiments. Proficiency in R, Python, High Performance Computing, generation of web resources and data visualisation For full viewing
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(desired) Skills in numerical modelling or programming (e.g., Python, PHREEQC, MODFLOW) (desired) Experience in both qualitative and quantitative hydrogeological methods (desired) This position is open to
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. Develop and maintain scientific software tools in C++, C, and Python. Lead or contribute to research projects, collaborating across business units and disciplines. Engage with the scientific community
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SELECTION CRITERIA 1. Master’s Degree in Computer Science, Software Engineering, Information Technology, or other relevant disciplines 2. Proficient programming skills in Python, Java, C/C++, HTML, CSS
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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong