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Dutch MPhil or Research Master’s degree in Economics or Econometrics is preferred Candidates with an MSc or MA degree are required to successfully complete 1 year of courses at the graduate school
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the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely with other researchers, including other PhD students in connected
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, MSt, or MSc) in one of the aforementioned disciplines or be very close to completion. Very close to completion means that the Master’s thesis must have been submitted and has already been graded
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. Applicants must hold an excellent master's degree (MA, MSt, or MSc) in one of the aforementioned disciplines or be very close to completion. Very close to completion means that the Master’s thesis must have
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hold a first-class honours award from a MSc or MA (level 9 NFQ) in Education, Entrepreneurship, Computer Science, Technology or a related discipline (although other award levels will be considered
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Unsplash Qualification requirements We are looking for highly motivated, creative and ambitious applicants. The candidate should have an MSc degree (or equivalent) in in one of the following fields
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knowledge of the use of command line and programming (bash and R), -Strong skills in statistical analysis, -Good ability to work in a team, -Good command of English (reading, writing, speaking), -Good
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic