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, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The Postdoctoral fellowships are affiliated with CREATE’s
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teamwork above all else. This position will be working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze
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energy, Wi-Fi and NFC. Develop embedded software and algorithms specializing in signal processing, data filtration, bio-signal sensing, and activity recognition. Exposure to the concepts of Mobile App
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: - Consolidated knowledge in ECC and LDPC algorithms - Consolidated knowledge in hardware description languages and hardware-prototyping toolchains (e.g., Xilinx Vivado) - Knowledge in FPGA
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proteomic data by importing, examining, and running statistical analyses and modeling algorithms. Analyzes data from a variety of experiments and platforms. Interprets, draws conclusions, and discusses
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conducting research in number theory, algebraic geometry, and related fields, possibly including algorithmic aspects, in collaboration with Bjorn Poonen; publishing research papers devoted to these subjects
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interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
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: Miguel Sá Sousa Castelo Branco IV - Work Plan / Goals to be achieved: To develop and test algorithms that can provide neurofeedback in real time from neurophysiological data. V - Initial grant duration: 12
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established SOPs for new and existing molecular sequencing technologies – genome engineering, new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies
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stereotactic surgeries for precise delivery of viral vectors into the brain. Build microwire electrodes. Analyze data using standard and machine learning algorithms. Participate in laboratory meetings and read