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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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: Duties: * Coordinating sample collection, overseeing experimental workflows, and ensuring quality control during data generation, managing and analyzing genomic, epigenetic, and proteomic datasets
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for the projects. This includes: Duties: ● Coordinating sample collection, overseeing experimental workflows, and ensuring quality control during data generation, managing and analyzing genomic, epigenetic, and
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for the projects. This includes: Duties: ● Coordinating sample collection, overseeing experimental workflows, and ensuring quality control during data generation, managing and analyzing genomic, epigenetic, and
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware