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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and
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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R
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), nonlinear dispersive PDEs, or cold quantum gases. Practical knowledge of at least one programming language (Python, Matlab, Julia) is expected. English : level C2 is expected. Applications must include a
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automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R Understanding of assay
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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models
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scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc students popularisation of science Specific Requirements Application procedure The information
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. Experience in biomedical imaging, particularly in vivo human eye imaging 5. Skills in signal and image analysis (e.g., using Matlab, Python, or Labview) 6. Proficient level of communication in
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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) Strong computational skills (e.g. coding in python, bash, matlab) Demonstrated aptitude for research Problem solving ability Ability to work in a multidisciplinary team Ability to work without close
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of single cell imaging data. Experience with programming language (e.g. Matlab, R or Python). Excellent communication skills. Any of the following will be a plus: Experience with mass spectrometry. Experience