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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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leave of absence. The research tasks require a strong mathematical background with proven experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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of Python language Knowledge in XRD and/or XRF analysis. Eligibility Appointment to the position of postdoc requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within
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-based imaging techniques (TEM, fluorescence, histology etc.) Successful grant applications Experience in Python programming Having worked on diverse science projects, in international surroundings
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, or similar. Good knowledge in programming (e.g. C or python) Experience in 3D image segmentation. Track record of producing high-quality research Documented pedagogical skills and pedagogical training
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publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet
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processing Programming skills (e.g. Python or MATLAB) Statistical analysis A strong publication record * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met
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the application deadline* Proficiency in programming (preferably Python) Strong communication skills in English, both written and spoken Additional merits that are considered: Advanced coursework in aircraft design
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programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic