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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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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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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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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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, kinematics, dynamics, control and manufacturing) Robotics and embedded systems Programming skills (particularly in C++ or Python) Simulation Experience with automation hardware and software. Strong mathematics
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding (the limitations
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languages such as R and Python is recommended. Further Technologies: Familiarity with statistical data analysis and cloud computing platforms is recommended. Personal Competencies: Independence and Creativity
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processing & analysis (Python) We expect you to master the entire software development cycle, from analysis and design to programming, quality assurance, maintenance, documentation, and DevOps. We expect
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-conventional microorganisms such as Pseudomonas spp. , Streptomyces spp. , oleaginous yeast such as Yarrowia lipolytica , black yeast (e.g. Exophiala viscosa ), or Fusarium graminearum Species Complex. Python
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characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Further Technologies: Experience in protein 3D structure prediction