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form, and attach all your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in
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countries. The ranking is based on recognized EU data sources such as CORDIS and Erasmus+ as well as publication and citation statistics based on the Scopus database, and patent statistics from the European
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, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and
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of ongoing collaborative projects in the lab. Responsibilities: Experimental work, including protein production, in vitro characterization, etc. Quantitative data analysis including statistics. Structural
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with a range of multi-omics data types and associated bioinformatic algorithms/statistics. Familiarity with methods for computational modeling of metabolism (constraint-based, kinetic modeling, etc
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transcripts and BSc/MSc diploma (in English) including official description of grading scale Short video (1-2 minutes introducing yourself) You may apply prior to obtaining your master's degree but cannot
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, experimental psychology, audiology, cognitive science, physics, electrical engineering, or a similarly relevant discipline. Experience with signal processing and quantitative methods (statistics or machine
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interpret multi-modal data (e.g., omics, images, etc.). The ideal candidate has the following skills PhD or MSc in computational biology, statistics, mathematics, computer science or related topics Advanced
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, complex question several research approaches may be used in various combinations, e.g., statistical, and process-based plant diversity and vegetation modelling, remote sensing, meta-analyses, existing
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your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official