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Field
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have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. • You have excellent command
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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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systems. Experience with robotic hardware (e.g., robot arms) and proficiency in C++ and/or Python, ROS 2, and MATLAB. Solid background in control theory and/or machine learning is highly desirable
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image analysis and/or coding (e.g. Python) Exposure to TEM/cryo-EM/cryo-ET or advanced fluorescence microscopy Experience handling human-derived samples (reproductive cells/tissues) What we
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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statistical modelling are essential for this position. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates
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design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English. Strong team player with excellent
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and/or analysing data (e.g. Bash, R, Python) We offer Excellent development opportunities, extensive training and an attractive remuneration package An exciting interdisciplinary and international
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modelling and analysis is a strong asset. You are proficient working with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI