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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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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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tasks relevant to the project The following experience is beneficial experience with common scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc
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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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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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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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Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high
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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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. Experience with relevant software tools (e.g. Abaqus, ANSYS, MATLAB, Python) and an interest in developing industry-ready research tools are strongly encouraged. Conducting high-impact research in composite
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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