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, iOS/Swift) sensor collection (mobile phone sensing, wearables, activity trackers) web-based development (React / JavaScript) RESTful server infrastructure (Spring Boot, Kotlin, Java, Linux) data
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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system administration Web programming (e.g. HTML/CSS/JavaScript) and web frameworks (e.g. Flask/Django) Code versioning with Github International work or study experience Experience of working with G
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maintaining technical documentation. Training and managing part-time (student worker) developers. We expect expertise or, at least, knowledge of the following technologies: Linux and Python (Django) JavaScript
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or, at least, knowledge of the following technologies Linux JavaScript/TypeScript and React Tailwind CSS Basic data science Knowledge of bioinformatics is preferable but not warranted. Our expectations of you We