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C++ and Python, including use of ROS or other real-time robotics frameworks. 5. Excellent verbal and written communication skills in English, including the ability to present technical concepts
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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., Python, R, MATLAB, or similar) are desirable. Ability to work independently as well as collaboratively in an interdisciplinary and international research team. Good command of written and spoken English
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, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as
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Python and Matlab (at minimum). Be fluent in English, both spoken and written. *The date on your doctoral degree certificate is considered the official date of completion. Exceptions to the three-year
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and work cooperatively with others. Preferred Special Knowledge, Abilities and Skills: - Experience in programming languages such as Python, R, Stata, SAS, SPSS. - Strong command of large dataset
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machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. Experience with normative modelling is an advantage. Proficiency in Python (and ideally C/C
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-page cover letter linking your interest in the project to your research experience and skills, (2) a full CV (including a complete list of publications), (3) a copy of your doctoral diploma and (4) two
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: Cover letter describing your background, interests, and fit for the position. Curriculum vitae, including a list of publications. Contact information for three professional references. Application review
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Python, MATLAB, or C++. Experience with machine learning techniques, CAD, computational modeling, 3D printing, motion capture, and/or material testing. Proficiency in programming languages commonly used in