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Support ongoing projects and daily operations
Collaborate with international teams across different cultures
Work with tools such as Microsoft 365, Monday.com, and Jira
Later in the internship, contribute ideas, suggest improvements, and challenge the status quo.

Assist in the development and validation of analytical methods onto a plate reader to measure media metabolites and perform cells counting
Conduct trials in laboratory environment
Perform data analysis to support development and support the final device integration decision
Contribute to the documentation of standard operating procedures for method usage
Present work results in team meetings.

During your assignment you will delve deeply into the workings of industrial machines, analyzing failure modes and performance characteristics to develop a comprehensive understanding of their behavior.
Your area of responsibility includes cleaning, processing, and constructing meaningful features from multivariate sensor data sets to create an excellent basis for advanced modeling and analysis.
Take an active role in visualizing and analyzing complex data sets using time series charts, correlation matrices, and other exploratory techniques to uncover hidden relationships and interactions between key features.
Furthermore you will develop hybrid algorithms that combine domain expertise with state-of-the-art analytics, AI, and machine learning methods to generate actionable insights for predictive maintenance and system optimization from digital twin data.
From the first day you will accurately evaluate and validate models using labeled data sets and define performance baselines using relevant metrics such as accuracy, precision, and recall.
You work on creating scalable templates and integrating them into our digital twin platform to optimize deployment and ensure repeatability across different plants and customers.
Last but not least you will document methods, results, and technical workflows in a clear and structured manner to ensure knowledge transfer and the reproducibility of your solutions.

During your assignment, you will support the design of meaningful and engaging user experiences for our connected cycling solutions. By focusing on user needs and business objectives, your contributions will be crucial in improving the overall user experience of our products.
Working closely with multidisciplinary teams, you will support the research, ideation, prototyping, UX writing and testing phases of product development, collaborating with engineers and designers.
You will leverage your passion for user-centred design to create intuitive interactions that resonate with cyclists, working closely with product management and development teams to ensure your designs are both functional and technically feasible.
Finally, you will grow and contribute your expertise within an open-minded, interdisciplinary team of designers and technology professionals, harnessing modern design tools.

You will become a member of CEPS’ staff and work in the ERCC unit.
You will participate in international teams that carry out research projects.
You will monitor the regulatory framework for the low-carbon transition, circular economy, energy and climate change in the EU and selected Member States.
You will do desk research on relevant topics.
You will assist in data collection.
You will summarise findings from interviews and meetings in written form.
You will assist in identifying and acquiring new research projects.
Other related tasks as required.

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