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Field
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algorithms. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits
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, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements existing strengths
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and marine industry to a more efficient, safe, and eco-friendly future. Some of the current research topics focus on advancement of reinforcement learning algorithm for vortical flow control and sensing.
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and marine industry to a more efficient, safe, and eco-friendly future. Some of the current research topics focus on advancement of reinforcement learning algorithm for vortical flow control and sensing.
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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-Gurevich Probability, random walks, random graphs, probabalistic algorithms Genadi Levin Complex and one-dimensional dynamics, non-linear phenomena Noam Lifshitz Extremal combinatorics, Additive