12 parallel-computing-numerical-methods PhD positions at Wageningen University and Research Center
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lacks a thorough theoretical foundation. Your duties and responsibilities include: Synthesize theoretically grounded methods for inference and spatiotemporal prediction using opportunistic samples, and
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methods and solutions, and advise governments and other stakeholders. Depending on your expertise and experience, the focus will be on either poultry or dairy cattle. Together with fellow researchers and
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supported by the Dutch research council (NWO) via the Research on Routes by Consortia (ORC) programme, Dutch Research Agenda (NWA). Our mission is to support at-risk populations—urban street vendors
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research methods, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a
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(LC-MS), you will explore the occurrence, diversity, and transformation of PAs in food matrices. Your research will involve: developing sensitive and selective LC-MS methods using deuterated internal
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that field. Your most important activities in this position will be: Developing, improving and harmonising LCA methods, databases and tools to measure environmental impacts in projects in which clients
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will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3059,- per month rising to € 3881,- in the fourth year in according
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations
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training programme on Regenerative Agriculture. The requirements to applicants is: You have: Background in soil sciences and agricultural sciences or related field; Experience in process-based modeling