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Biotechnology, Bioengineering, Biochemistry, Pharmaceutical Sciences, Neurosciences, Biomedicine, Biomedical Research or Genetics and be enrolled in a PhD or a non-degree course, relevant for the development
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models; Participation in the implementation and execution of laboratory tests for validation of the platform's algorithms, interfaces, and subsystems; Support in the analysis of experimental results and in
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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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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and