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, language learning, human evolution, and communication. You have experience in data analysis, visualizations and programming in R and/or Python. You have experience in, and aptitude for, complex statistical
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required
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campuses in Roskilde and Ballerup. References [Heuck2023] Heuck, M., Englund, D. R. & Jacobs, K. Efficient, high-speed two-photon logic gates at room temperature for general-purpose quantum information
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experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
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delivers high-impact teaching, research, and industrial collaborations. The project sponsor Dynex Semiconductor is a leading international high power semiconductor business, and has a manufacturing and R&D