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Program
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Field
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to mitigate problems with underwater communication channels. Develop advanced signal processing algorithms for dynamic optical links. Program simulators and simulations with Python and MatLab. Write scientific
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languages (Python, MATLAB) would be considered as assets for the application of the candidate. • Languages: Strong command of scientific English, both written and spoken. • Personal attributes: Autonomy
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systems, control and cyber security. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and
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interdisciplinary collaboration, ideally bridging computational and social sciences domain. Advanced scientific programming skills (R/Python; and/or julia, MATLAB, or another relevant language) and version control
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repository management (REDCap, Nextcloud, GitHub, etc.), software development (Python, MATLAB, R, etc.). (0.2 points for each certificate provided, up to a maximum of 1 point). Other (Max. 2 points
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- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
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identification and imaging systems. Experience with Imaging FlowCytobot (IFCB) instrumentation. Familiarity with machine learning methods applied to scientific research. Proficiency in Matlab, Python, or R
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R
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programming environments for statistical analysis (e.g., R, MATLAB, Python). Preferred experience with wet lab skills such as preparation of solutions, pipetting, and handling chemicals and biological samples