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techniques, including classical molecular simulations at different levels of resolution and the development and application of neural network models, including generative modeling approaches. Candidates
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and mapping (SLAM) algorithms Desired Qualifications Additional desired experience includes: Experience using software-defined radios (SDRs) and relevant frameworks such as GNU Radio Experience
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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laboratory, collaborating with plant pathologists and with MSU Extension pollinator and farm economics programs. This position is well supported by research technicians, a network of university-based
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all assumptions. Datasets and models will be in format compatible with Wildlife Division software and hardware. Equal Employment Opportunity Statement All qualified applicants will receive
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considerations Using and developing data acquisition and signal processing software (LabVIEW, MATLAB, etc.), mainly for temperature and pressure data. Some familiarity with magnetic fusion energy Required
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-water fluxes, constituent loads or concentrations, and contaminant mass in both directions, where required by the coupled processes, is highly desirable Advanced scientific software-development
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, CST Numerical EM modeling with Matlab or equivalent software Experience with lab equipment such as VNA, signal generators and testing of radiating devices in anechoic chambers Required Application
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experience in mass spectrometry-based metabolomics (LC–MS/MS required; HRMS preferred) Experience with data analysis, spectral interpretation, and metabolomics software tools Demonstrated publication
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encourage candidates from underrepresented groups to apply. We particularly encourage applicants with a demonstrated track record in open science, including open-source software development and open