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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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., 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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delivery of RNA or DNA to cultured cells, CRISPR-Cas genome editing. Some knowledge of a programming language such as R or Python would be valuable. Applicants will work under the practical supervision of a
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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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applications from candidates that hold a PhD in Physics or a related area. The successful candidate is expected to have an excellent background in soft matter physics, experience in programming (e.g., python, C
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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using Python and Fortran programming language. Responsibilities: Conduct a literature review and gap analysis of existing models on methane and nitrogen gas production, livestock enteric fermentation, and