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of experience, or equivalent combination of education and experience, is required. Masters or PhD in an earth science field strongly preferred. Programming experience with MATLAB is required; fluency in other
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and/or training in programming (e.g., Matlab, Python, etc.) Statistical expertise relevant to the duties Sufficient experience and demonstrated skills to successfully perform the assigned duties and
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statistical analysis of large-scale datasets, especially metabolomics and transcriptomics. Experience with programming language (e.g. Matlab, R or Python) and statistics. Motivation to work in an international
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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science, or engineering, along with sufficient knowledge of neuroscience and neuroimaging to understand the project questions and objectives, and with proficiency with programming in MATLAB (preferred) or Python. Post
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. Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage. Practical experience in prototyping or testbed experimentation is an advantage. Soft skills Strong
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genomic data using existing tools or develop new algorithms to facilitate novel discoveries. Programming skills in one of the following: Python, C/C++, or Java. Minimum Qualifications Bachelor’s Degree
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
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toolboxes MATLAB/Simulink/Simscape, Python, CasADi, fmincon, etc. Preferred qualifications Writing scientific papers PhD study experience in a related field. Awareness of diversity and equal opportunity