11 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"CERIC-ERIC" PhD positions at University of Plymouth
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language is not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 or equivalent. The studentships are supported for 3.5 years and include full Home or International
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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and modelling tools Person Specification: We seek a motivated individual with an interest in Earth Science and a desire to develop expertise in analytical techniques and modelling/basic programming
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not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. Successful
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language is not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. If you wish
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for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded ARIES
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training