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sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will have coding skills in Python, PIP, JSON and HTML and will be
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, population analysis. You possess excellent skills in your area of specialization. You have proven experience of working with microdata. You excel in using statistical software, such as Stata, R or Python. You
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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statistical programming using R and/or Python, with experience in data management, analysis, and visualisation. You must have demonstrated experience working with large-scale biological datasets, preferably
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simulators or/and quantum computers for quantum chemistry. Strong programming skills, especially in Python and/or C/C++/Fortran. Knowledge on software development kits for quantum computing like IBM’s QISKIT
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
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, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. A curious mindset. An interest in multi
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Science, Medicine). Programming skills (Matlab, Python) are necessary and experience with brain imaging, EEG, interventional approaches, computational modeling are highly desirable. Above all, they will demonstrate