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Field
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CSAES - Postdoctoral Position in Experimentation and modeling of the interactions of different fertilizer formulations with the water-soil-plant-atmosphere continuum. About UM6P: At the heart of the
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the prevalence and distribution of tick-borne pathogens across Vermont’s forested, agricultural, and recreational areas, including the environmental and ecological drivers of tick and pathogen prevalence, and the
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
genome-wide analyses will be prioritized for mechanistic validation using molecular, cellular, and functional approaches in relevant mammalian cell models. As the project develops, the successful candidate
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state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate
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Apply now to Postdoctoral Scholar - Agrivoltaics systems analysis and modeling Job #JPF03056 Environmental Studies Program / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
quantitative, modular biosensing approaches for nucleic acids, proteins, small molecules, and other biomarkers relevant to biomedical, environmental, and biotechnology applications. This position is within
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delivering train‑the‑trainer workshops for conservation leaders using toolkit resources and project findings. Required Qualifications: Ph.D. in natural resources, geography, ecology, environmental science
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs