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well as other databases. This involves systematic data management, combination of different data sources, epidemiological and statistical methods as well as herd visits to perform interviews with farmers and
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Postdoc position in pancreatic cancer bioinformatics: Interplay between environmental and genetic drivers of pancreatic ductal adenocarcinoma
data, in particular RNA-seq and variant calling • Documented experience in statistical analyses of such data, including expression analysis, as well as quality control and visualization
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of remote sensing technologies in agriculture or related field Have experience with chemical characterization of soils and plants Have experience with data management and an interest in statistics. Have good
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of remote sensing technologies in agriculture or related field Have experience with chemical characterization of soils and plants Have experience with data management and an interest in statistics. Have good
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PhD fellowship focused on understanding linkages between deforestation and dietary changes in low-income countries, with a primary focus on Tanzania and Malawi
statistical expertise, some programming abilities (e.g., R), experience doing independent research, and excellent communication, writing, and organizational skills are required. Experience in tropical regions
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PhD fellow in Agriculture and Climate Change – Nitrous Oxide Emissions from Fertilisers Department...
data management and have an interest in statistics. Have good communicative and interpersonal skills. Have excellent English writing and speaking abilities. Terms of employment The position is covered by
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gas emission measurements will be an advantage. Have experience with data management and an interest in statistics. Have good communicative and interpersonal skills. Have excellent English writing and
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. Specifically, the PhD student will be part of a research group working on endemic cattle diseases using epidemiological, statistical and economic methods to assess disease effects and control. Methods from
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, Biostatistics, Computer Science, Demography, Sociology or related sciences. Previous involvement in research projects is an advantage. Complex epidemiological and statistical methods are needed to conduct