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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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optimization Strong command of signal processing applied to detection / mitigation Machine learning experience is a valuable asset Proficiency in MATLAB. Python and machine learning frameworks is a valuable
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
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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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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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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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, transformer-based models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large