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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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. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team
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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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. Experience with programming languages such as Python, R, MATLAB, or C++ for data analysis, modeling, and automation. Experience using data visualization and business intelligence tools such as Power BI
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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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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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skills (e.g., python, Matlab) excellent written and spoken English language skills Preferred qualifications: experience with speech and audio foundation models experience with signal processing algorithms
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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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. 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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Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high