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Field
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
conservation science. Applicants can have a background from biology, ecology, or a closely-related fields. Applicants should hold a MSc degree or equivalent. As criteria for assessment of your qualifications
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seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study
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statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals
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writes English fluently and has obtained excellent results in the Master phase. The PhD candidate should have a background (MSc, Research Master) in Econometrics, Statistics or Mathematics or closely
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. Eligibility Candidates must hold an Upper Second Class (2.1) honours degree. Candidates will need an MSc in Statistics/Biostatistics or Epidemiology/Health Data Science (with a strong analytical component) plus
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 14 days ago
of measurement procedures for two-photon vision investigation Advancement of two-photon vision laboratory system Performing measurements with human subjects Statistical analysis of data Writing publications and
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 14 days ago
Statistical analysis of data; Writing publications and reports; Active participation in conferences. Specific Requirements MSc diploma in physics, photonics, engineering or similar field; PhD student; Knowledge
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The successful applicant will hold, or shortly expects to obtain, an MSc or MA qualification in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Computing or a related quantitative discipline
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preferred. In addition you meet the following requirements: MSc in Neuroscience or Biomedical sciences; Good communicative and collaborative skills; Experience with data analysis/statistics; Critical attitude