392 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" PhD positions in United Kingdom
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Field
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
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willingness to learn advanced methods Experience with quantitative and qualitative methods Experience in cognitive-behavioural studies and data preparation English language proficiency Ability to work
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation
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investigation) and basic quantitative methods (e.g., monitoring) Ability to collaborate and engage to different stakeholders Strong analytical skills and ability to handle data confidently Funding support After a
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the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a mandatory field) - upload a document or
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is offering multiple studentships for candidates from backgrounds spanning the physical and computer sciences. These students will develop core expertise in robotic, digital, chemical and physical
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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, the student will be able to design and execute reactions, interpret complex analytical datasets, and summarise this information in a variety of formats (such as in presentations at group meetings
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-balancing under stress) and Autonomous Transportation (modeling traffic systems during cyberattacks). This includes creating an Adversarial Scenario Library to curate edge cases like data poisoning and