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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01
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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental
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“ program of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB, http://www.uni-goettingen.de/en/sh/56640.html), which offers attractive interdisciplinary training
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personal motivation for applying (why a doctoral program, why in Luxembourg, minimum 300 words) A statement on the candidate's motivation for applying for this topic (minimum 300 words) Full CV, including
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for scientific work strong programming skills and experience in software projects excellent written and spoken English skills TUD strives to employ more women in academia and research. We therefore expressly
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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for up to 6 months before starting the PhD program. The position is available from 1st September 2025 or soon thereafter. Application deadline is 20. June 2025. Research Project MYC is a critical
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field #experience in quantitative assessments, including statistics and/or crop modeling #proficiency in programming languages for data processing and analysis #strong commitment to inter- and