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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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, researchers will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. For behavioral roles, researchers will manage and manipulate data using qualitative research tools
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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expertise and experience in vision science, retinal neurobiology and advanced connectomic methods and related data analyses skills including advanced statistics, MATLAB and Python programming skills
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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sites is required; Previous experience in lab analysis is considered an advantage; Knowledge in programming languages such as Python, R, or MATLAB, and experience in handling large datasets is considered