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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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modeling Programming/scripting skills (e.g., Python, R) for data handling and visualization Strong interpersonal and cross-disciplinary collaboration skills What We Offer Innovative Research Framework
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valued. Strong programming skills in Python. Strong communication skills and intercultural sensitivity. Why Us? Joining NQCP now, you will be involved from the very beginning and contribute
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experiments Desirable: • Backend development (Python, Ruby, …) • Linux system administration (deployment, networking) • Experience with decentralized/self-hosted services, e.g. Mastodon, Nextcloud, Matrix
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
experience testing for trace-amounts of contamination/impurities on MEMS structures to iron out false-positives in catalytic experiments. Experience in Python and LabView programming for developing new codes
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optical systems with COMSOL, Lumerical, or similar. Experience with control software and data logging – preferably in python. Good communication skills and a structured approach to work. Why Us? Joining
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Python and LabView programming for developing new codes for data analysis is also needed. Finally, you must be able to communicate clearly, be out-reaching and service-minded as well as be creative
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
supporting our mass spectrometry and proteomics research in the context of the national PLATO research infrastructure (https://www.sdu.dk/en/forskning/plato ). This research scientist position is an exciting
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with