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Field
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet
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scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
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-derived amines for Maillard reaction in Brassica foods – GluAmin’, which is funded by German Research Foundation: PhD student (f,m,div) in the field of food chemistry Reference number: 14/2025/3 The salary
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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 18 days ago
Job Offer St Andrews–Max Planck PhD Studentship in Population, Health and Data Science We invite applications from qualified and highly motivated students for a 3.5-year St Andrews–Max Planck PhD