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Field
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, computational biology or a related subject area. Experience in human genomics and a good understanding of cancer genomics are required. The candidate should have proficiency in R, python, or comparable
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associated with integrated workflows such as ETS and TCI. Develop coupled multi-physics workflows using IMAS and MUSCLE3. Integrate numerical simulation codes written in Python, C/C++ and Fortran. Design
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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