29 phd-drug-discovery "Eindhoven University of Technology (TU" PhD research jobs in United Kingdom
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Please note: while this is a funded studentship, funding restrictions mean this opportunity is only open to applicants who qualify for UK home fees.Cells are electric! Bioelectricity has a role in the electrophysiology of our nerves and muscles, wound healing, organ development, and cancer.You'll...
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together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs that are conducive to successful completion of the problem at hand
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About the role You will be working with the Niklison-Chirou team at the Life Sciences Department. In this specific role, you will support lab members (PI, PhD students and MSc students) in designing
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utilisation of weather data. Implement and evaluate the model using Python, ensuring compatibility with ML frameworks and Firedrake software. Desired Qualifications Enrolment in or completion of a PhD in a
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learning, natural language processing, knowledge discovery and model interpretability tasks • International outstanding research and/or practice outputs in machine learning and its application Attributes
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the University of Cambridge, UK. The position is fixed-term for 3 months, with an ideal beginning in June 2024. The Research Assistant will work together with a team of PhD students and research collaborators
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. Applicants must have (or be close to obtaining) a PhD in Engineering or relevant discipline. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received
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. Applicants must have (or be close to obtaining) a PhD in Engineering or relevant discipline. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received
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peer reviewed academic publications of the highest standards of significance and impact Supervise less experienced researchers and PhD students Develop skills and networks to become a successful
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and subsequent cluster-randomised trial of proactive risk assessment within primary care. Applicants should have, or be close to completing, a PhD or equivalent qualification. Given the nature