20 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at Imperial College London
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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effects and treatment response. This work will help address major research questions related to medication safety. You will be working with Dr Cynthia Sandor , a Group Leader in the UK Dementia Research
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supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational
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to develop a model of health and healthcare provision (see www.tlomodel.org ). The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding
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, please contact: Dr Melody Ni – z.ni@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned
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6-month extension). The anticipated start date is as soon as possible, but no later than February 1st, 2026. For informal enquiries about the post, please contact Dr. Firat Guder at guder@ic.ac.uk Any
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Excellent coding skills Preferably a familiarity with machine learning and deep learning models, as well as a familiarity with cardiology. Ability to work well in a team, and coordinate team research Ability
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, please contact: Dr. Firat Guder at guder@ic.ac.uk Attached documents are available under links. Clicking a document link will initialize its download.
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep