78 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"FEMTO-ST"-"IMPRS-ML" "Prof" PhD positions in United Kingdom
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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison
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Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
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supervisor: Dr Tom Stanton Secondary supervisors: Prof. Cunjia Liu, Prof. Adrian Spencer, Dr Nicholas Midgley (Nottingham Trent University) Entry requirements: Applicants will normally need to hold, or expect
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3.5-year D.Phil. studentship Project: Efficient engineering and control of predictable and reliable biotechnologies. Supervisors: Prof Antonis Papachristodoulou and Prof Harrison Steel This project
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
based in group of Dr Alexandre Slater and Prof Steve Watson within the Birmingham Platelet group at the University of Birmingham, Department of Cardiovascular Sciences. Dr Slater’s interests have focussed
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: ICSA PhD Programme with a start date of 01/10/2025. Applicants should state “Energy Efficient Mobile Networking Systems” and the research supervisor (Prof. Mahesh Marina) in their application and
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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots
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a supporting statement, and you should outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field
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Primary supervisor - Prof Paul Crichton Mitochondria in our cells harness energy through the breakdown of nutrients to produce ATP through oxidative phosphorylation. However, they are not 100
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how