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Field
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Internal Number: 361386 Summary: NIH- funded position to study the effects of mutations in the assembly of the PKA-R subunit complexes. The overarching goal of the project is to determine the effects of
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(e.g., R, SPSS, Stata). Ability to work independently and collaboratively within a fast-paced, multidisciplinary environment. A strong passion for global health and improving healthcare outcomes
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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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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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transfection work Experience with microscopy Experience with RNA-seq Experience with image and RNA-seq analysis, including competence using R or python and computational clusters Molecular biology techniques
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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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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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of adipose tissues and to identify secretory factors involved in conversion of white adipocytes to brown adipocytes Details of the R&D activities can be found at www.sklpb.hku.hk and www.antibody.hku.hk
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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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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