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). Maintenance of transgenic mouse colony and embryonic fetal analysis 3). Train students and post-docs in hematopoietic research techniques 4). Prepare figures. Make charts, tables, and graphs from numeric and
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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standard operating procedures for assays and routine methodologies for tech transfer to GMP operations Analyzing data and creating graphs using appropriate software (e.g., SoftMax Pro, Excel, Prism) and data
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
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scientific software (Excel, Word, PowerPoint, Adobe Illustrator/Photoshop, Graph pad Prism); demonstrate the ability to work independently and contribute to a team environment; help to create and maintain a
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of the detector upgrade. The LPC is also a major hub for Machine Learning developments for particle physics. There is close and frequent collaboration with the Fermilab theory community. The LPC provides
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based on computational harmonic analysis. The appointee will be expected to find application areas and demonstrate the success of the theory to these areas, and thus expected to have strong programming
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(e.g., PhD, EdD) in education or other relevant discipline and demonstrate excellence in teaching and mentorship at the graduate level. Experience and expertise in health professions education theory and
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. Knowledge of bioinformatics associated with mass spectrometry-based techniques including proteomics-related techniques. Ability to understand and utilize scientific/medical terminology and research theory in