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integrated models for pollutant transport and fate that assess the impact of soil pollution on soil functions and related ecosystem services. The PhD researcher will work in the small SOILPROM team at RECETOX
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. The role is based in the Weston Library, Oxford, with up to two days of remote working per week by agreement with the line manager. About You You will have a PhD/DPhil (or have submitted a thesis) in a field
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
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model the plastic deformation of solid solutions of tungsten carbide in a cobalt binder under nanoindentation, including MD-based hardness predictions and defect analyses, to gain fundamental insights
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-motivated in advancing science. Their active involvement in this project will contribute to their career development, such as increasing their competitiveness in PhD scholarship applications. The successful
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 26 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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resources using the most cutting-edge research tools and models. . PhD in Biological Sciences or a related field · Experience with Neuroimmunology and/or Immunology is highly preferred · Proficient in working
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mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a PhD
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model