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transcriptomics data using R/Python. Wet lab experience is beneficial but not essential. You have a strong enthusiasm for fundamental research and a scientific interest in the molecular genetics of immune cell
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support the educational activities of Laboratory Soete. This includes the following tasks: o developing Python based exercises and projects for the bachelor course ‘Dynamics of Rigid Bodies’ (in Dutch
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/ SIMULINK for the control of the exoskeleton robot is highly desirable, as is experience with python/R for analyses and simulations pipelines. Masters in STEM is an asset but applicants with a Masters in a
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., C/C++, Python, Java, Go, Rust) A proactive attitude toward bridging research and practical implementation Sound publication track record in relevant international conferences and top journals
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, for instance, R and/or Python and you are fluent in English. To be eligible, your PhD defense must be at most 5 years ago at the beginning of the postdoctoral fellowship and you cannot have resided or carried
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data using R/Python. Wet lab experience is beneficial but not essential. You have a strong enthusiasm for fundamental research and a scientific interest in the molecular genetics of immune cell
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Control / Estimation Theory Intermediate programming skills in Python and C++ Intermediate level skills and proven experience with PyTorch Working knowledge of ROS and previous experience of handling
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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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aspects of Cultural Heritage Science and the challenges inherent to this field (experimental noise, few-data regime) will have to deploy deep learning algorithms using Python/Keras/Pytorch or equivalent
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strong motivation to work in a multidisciplinary team; Experience with quantum mechanical software packages (VASP, CP2K, …), machine learning potentials (SchNet, NequIP, MACE), and coding (Python, C