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-made R package and provide support to the research teams Support panel management tasks such as data cleaning and data storage Profile Excellent oral and written communication skills in English and
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Engineer to lead a new R&D project investigating how to increase the efficiency of feedstock production and overall reduction of energy consumption in powder-based AM processes. The role includes material
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desire of getting a glimpse into rigorous applied research. Prior experience in handling and analysing data using statistical software packages such as STATA and/or R is desired and a strong interest and
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, offering insights into industrial R&D workflows and exposure to how academic research can translate into real-world technology. A vibrant, international research group that values collaboration, creativity
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datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
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to scientific exchange and team development Profile Master’s degree or equivalent in Data Science, Computer Science, Biomedical Engineering, Neuroscience, or a related field Solid experience in Python and/or R
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organic redox flow batteries. Close scientific interaction with a dynamic startup partner, offering insights into industrial R&D workflows and exposure to how academic research can translate into real-world
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Science or related field Strong skills in quantitative methods and a strong command of R or another statistical programme Motivation to conduct independent research on your PhD as well as work together
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/biological evaluation frameworks. Quality Assurance Maintain and continuously improve the ISO 13485 electronic quality management system (EQMS). Facilitate smooth transitions from R&D to manufacturing by
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seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in