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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a PhD researcher to investigate the transformative learning experiences and outcomes
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related to staff position within a Research Infrastructure? No Offer Description We are seeking a PhD researcher to investigate the transformative learning experiences and outcomes for young people by
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), and machine learning techniques to identify new players of plant growth during and after an immune response. You will validate the genetic leads, such as transcription factors (TFs), identified in our
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(e.g. R, Matlab, Python); some experience with (OMICs) data analysis and/or Chemometrics and/or machine-learning, or willing to learn; a strong motivation to work in a multidisciplinary international
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Center (NPEC) . You will utilise modelling, genetic mapping, and machine learning techniques to identify genes controlling the growth during and after an immune response. In the second phase of the project
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The rapidly evolving field of AI offers promising solutions to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However
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to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However, many of these AI-driven solutions emerge from tech companies
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skills in python; solid knowledge of machine learning (including deep learning) and good background in formal linguistics; high proficiency in academic English; ability to work both as an independent
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clinical impact? Then this PhD position may be a good fit for you. In this project we will investigate how individual differences in cognitive mechanisms needed for learning from therapy predict success
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time. Requirements Specific Requirements You are interested in cell biology and have a learning and exploring attitude. You are keen to develop yourself personally and professionally. You put your good