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Field
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. Desired qualifications: Strong theoretical and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian
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background in statistics (a minimum of 60 ECTS in statistics). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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the challenges posed by extrachromosomal DNA in cancer. Supported by Cancer Grand Challenges, a global initiative addressing key issues in cancer research, it is funded by CRUK and the NIH (https
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physics or a closely related area. Required ExperienceEmpty heading Analysis of particle physics data sets Expert knowledge of C++ Expert knowledge of Python Effective communication skills, both oral and
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of three tree species (Oak, Ash and Silver Birch) through applying ‘speed breeding’ conditions (https://doi.org/10.1007/s10681-024-03300-x ) as a tool to enable future breeding programmes in these species
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knowledge of handling sequence data from RNA-seq or other NGS-based approaches. Experience with data analysis in Python/R. Experience with experimental work on plants or other eukaryotic organisms in
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such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long Arctic Ocean research cruise scheduled to begin in late July
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. This project is a collaboration between research institutions and Ministries of Health across Asia , building upon the existing UNITEDengue (https://www.unitedengue.org/) . You will be responsible for developing
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/knowledge graphs, and carbon accounting. The Research Fellow will help develop and lead the CognitionX Lab (https://cognitionx-lab.github.io/ ) with Dr. Jinying Xu, Assistant Professor and Director of