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Field
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Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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the distributed hydrologic model ATS (The Advanced Terrestrial Simulator), coupled to a trait-based plant-soil-microbe model (ATS-EcoSIM). The code provides a framework for three-dimensional hydrologic
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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activity derived from distributed brain regions to assess how neural circuits coordinate in the PD condition during a multiplicity of behaviors and conditions. 10% Supervision and Project Management: Manage
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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Biology is desirable. Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Baylor College
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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upgrade, luminosity measurements, the alignment of the Tracker and other calibration activities, as well as algorithmic work and shifts for the detector operation.The DESY CMS group is seeking to hire two