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using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning
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of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
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manufacturing is desirable. Prior experience in laboratory and project management is also advantageous. Programming skills or acquaintance with applying Python packages, statistical data analysis packages
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, digital communications, quantum information processing, quantum computing Strong mathematics and programming skills (e.g., Python, Matlab, or similar) Strong written and verbal communication skills in
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, or portable robotic platforms. Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS
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MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in Python. Practical experience in antibacterial assays based on dilution or diffusion methodologies
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computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. good ability to work independently, formulate research questions and select appropriate methods. good
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, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a