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any question regarding the recruitment process, please contact HR Advisor Monika Mäkinen, hr-elec@aalto.fi . Want to know more about us and your future colleagues? You can watch these videos: Aalto
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information about adapting to living in the UK Please see the following video for more information: Post Doctoral Research Fellow in Digital Transformation, Artificial Intelligence, and Smart Cities Eligibility
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compression heat pump system, and, working very closely as part of an integrated team with other academics and researchers, and assisting in the supervision of PhD students at Liverpool. You will be expected
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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. The salary for this post is at Grade UE07: £40,497 to £48,149 per annum, pro-rata if part-time. Your skills and attributes for success: PhD (or near completion) in a relevant field. Strong coding skills in
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good understanding of biomedical signal processing Proficiency in Python coding Knowledge of statistics and physiological signal analysis Good understanding of photoplethysmography and Near-infrared
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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required