1,862 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University"-"IFM" Fellowship positions
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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Science & Engineering, Chemistry, Electrochemistry, or Data Science/AI with a strong background in materials applications Technical Skills & Knowledge Experience in membrane fabrication and nanomaterials
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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, the selected candidate will advance ongoing correlative studies by analyzing immune markers of response in clinical samples. For more information about Dr. Kortylewski’s lab, please visit the Kortylewski Lab
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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in Nature Cell Biology, Developmental Cell, Development, Genome Biology, Nature Communications, Nature, etc. Additional information of the lab could be obtained from the website: hSps://medicine
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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modeling is a plus. Special Instructions Contact Information Professor Daniel J. Jacob Contact Email djacob@fas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and