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Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python
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, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep
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, Austria, and the remaining two years at the Institut Laue-Langevin (ILL) in Grenoble, France; PhD enrollment: The successful candidate will enroll in the PhD program at the University of Graz. During
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of findings at national and international conferences Contribution to project coordination and supervision of student assistants Completion of the PhD program “Regenerative Medicine ” at the University
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). • Experience with quantitative analysis, such as statistics, scientific programming, and/or numerical modelling. • Excellent written and spoken English (working language is English). • Ability to work
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programming and quantitative analysis (e.g., statistics, scientific programming, numerical simulation) • Excellent written and spoken English (working language is English). • Ability to work independently
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well as fungal transformation is appreciated Experience with fluorescence microscopy Knowledge of programming, R, statistical analysis or bioinformatic is strongly appreciated Excellent English proficiency in
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as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We
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actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs at the University of Vienna - Disseminate and present your work and represent the group through
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closely with other team members in the Environmental Psychology Group and contribute actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs