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communication and organizational skills, able to work independently and as part of a team. * Candidates must have an MSc in any disciplines related to the topics of the call (engineering, computer sciences, MR
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subject, such as psychology, biology, human genetics ii) an MSc in a relevant subject involving human genetic research or child development research iii) Prior experience working with statistical packages
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manuscripts to scientific journals Attend courses, summer schools and project meetings of the Research Unit and IGB doctoral program Supervise MSc and/or BSc student(s) Your profile Mandatory: A university
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for a highly motivated and talented PhD student with an MSc degree in biological engineering, molecular biology, genetics and/or microbiology (or equivalent). You will join a young and motivated
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/dutch-courses . Requirements Specific Requirements About You: Curious Learner: You're eager to learn and explore, holding a Master's degree (MSc) in Statistics, Applied Mathematics, or a related field
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validating joint models for clinical prediction. Applicants should have: Obtained or working towards a 1st class degree in Mathematics (BSc/MMath) or Distinction level Masters in (Bio)Statistics, Data Science
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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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Specific Requirements You hold an MSc in Statistics, Mathematics, Artificial Intelligence, or a closely related discipline; You have a strong background in quantitative modeling enabling the development
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participation in fieldwork Processing samples for next-generation sequencing, metabarcoding, analysis of trophic morphology, and analysis of growth trajectories Bioinformatic and statistical analyses Writing