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and hardware. 4. Database development and management using Redcap or similar software. 5. Statistical analysis 6. Scientific writing including grant development and manuscript writing Job Duties Plans
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and hardware. 4. Database development and management using Redcap or similar software. 5. Statistical analysis 6. Scientific writing including grant development and manuscript writing Job Duties Plans
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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patients. The candidate will work closely with a multidisciplinary team consisting of colleagues from biomedical sciences, medicine, bioinformatics, and statistics, both within and outside UMC Utrecht
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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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methods, parameter estimation, and data visualization. Some knowledge of probability and statistics. Other Requirements: CV Research Statement 3 Reference Letters Cover Letter Full-time, 12-month position
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journals and conferences; Contribute to educational activities; Write a dissertation. Selection Criteria A MSc degree in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related
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field concerning health (e.g., health science, health psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational
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related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding of probability, statistics and optimization. * Proven expertise in