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Field
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Mine: Integration of Multidisciplinary Data,” we are recruiting a web and server developer to work on the integration of AI and geostatistics. The project aims to deliver a geospatial platform that
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microscopy, STED and ExM. 2. Immunofluorescence labelling techniques. 3. Familiarity with imaging software: FIJI/ImageJ, Imaris, LASAF, ZEN, OMERO. 4. Experience working in a dynamic environment
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experimental design, survey methodology, and causal inference. (Note: Technical data science skills, such as software engineering or system architecture, are not a prerequisite.) Publication record: An emerging
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with the gonococcus. You should be able to maintain accurate and detailed records and have experience using LabArchives software. Excellent communication skills, as well as the ability to effectively
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protocols and procedures to effectively utilize the facility for material testing. Analyze and interpret data collected from experiments, utilizing advanced computational methods and software. Mentorship and
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software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge of complementary structural and biophysical methods. Specialist knowledge in the discipline
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, metal nanoparticles, 2D nanomaterials (GO, MXene), or surface functionalization chemistry. Experience with chemical-kinetic software such as Cantera, Chemkin, or equivalent tools. Knowledge of standard
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 16 hours ago
external funding applications. Minimum Qualifications Ph.D. degree in the field of Biological Sciences. Experienced in cellular and molecular biology; Experienced in using graphics and statistical software
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techniques and software (e.g., Matlab, R, IDL, Triton, Ishmael, XBAT Raven, and PAMGUARD) and statistical and/or mathematical programming languages (e.g., R, Matlab). Applicants with experience in marine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities