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development and/or cloud systems. You have affinity with science and AI. You enjoy working in a multidisciplinary team. You are familiar with the following technologies: python, Git, SQL, typescript and Docker
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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Knowledge and background in working with optical laboratory setups (incl. lasers, detectors, free-space or fibre based optics), real-time data acquisition or experience in programming & modelling (eg. Python
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an asset. Your motivation, overall professional perspective and career goals will also be explored during the later stages of the selection process. You should also have: Knowledge of: Python Machine
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Matlab or Python and a basic experience in the use of optical engineering software (for example Zemax OpticStudio, CodeV, RayJack-1) is required. You should have good interpersonal and communication skills
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and written. Further expertise that would be valuable: Python software development; Natural Language Processing. Above all, you are a quick learner, proactive and eager to make things work. Our offer
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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
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involving the analysis of omics or twin datasets. Essential qualifications include: A strong computational background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell
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process. You should also have: Competences in the field of mechanics, fluid-dynamics, electronics as well as coding (Python) are appreciated. Diversity, Equity and Inclusiveness ESA is an equal opportunity
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record