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Field
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to interdisciplinary work, availability and interest in learning to use software tools useful for research; Ability to work both independently and within a multidisciplinary team; Fluency in English and French
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. Experience with LCA software (e.g., SimaPro, openLCA, or GaBi) and databases (e.g., ecoinvent). Strong publication record in peer-reviewed journals relevant to sustainability assessment, circular economy, or
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, presentations, software, datasets, and internal reports Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
describe your relevant technical background, including specific techniques, instruments, assays, software, and your role in developing or applying them. Group information: https://www.nist.gov/pml
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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(e.g., publications, reports, or significant software contributions). Desired skills/knowledge: Experience with metadata standards, data schemas, or FAIR principles, particularly with data formats
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datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
consortia # Confident use of scientific software (e.g., Origin, MATLAB) and good working knowledge of MS Office # Programming skills (ideally C/C++ or Python); experience with scientific data management
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. These instruments may combine optical components, laser and spectroscopic methods, spin-control or magnetic-resonance techniques, electronics, data-acquisition hardware, and software control. The candidate will use
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, agricultural economics, or a closely related field. Preferred Qualifications: Experience with survey design methodologies and software. Strong quantitative and mixed‑methods skills. Excellent written and oral