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Field
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-form empirical research with large datasets. This includes strong programming skills in Python and experience with at least one additional language used for structural estimation or numerical computing
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
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field. Documented experience in image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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Engineering, Physics, or neighboring fields (obtained before employment begins) Excellent communication skills in written and spoken English Ability to program in high-level languages such as Python and C/C