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: linear systems, Lyapunov synthesis, adaptive control. • Mechanics: solid dynamics, continuum mechanics, finite element modeling. • Tools: programming in C++ and/or Python, knowledge in ROS2. • Knowledge in
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will be advantageous. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
signal and image processing, machine learning, deep learning, robotics, and 3D design, with proficiency in programming languages such as JavaScript, R, Python, Matlab, or SQL. • Proven research experience
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well as proven competence in programming methods in Python or similar languages, and evidence of working well as part of a multidisciplinary research team. Informal enquiries may be addressed to Professor Tingting
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/or cancer immunology. You will bring expertise in immunofluorescence imaging, including spatial analysis of immune cells, and experience with single-cell RNA-sequencing analysis using Python and high
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michele.compare@aramix.ai Requirements Research FieldComputer science » Modelling toolsEducation LevelMaster Degree or equivalent Skills/Qualifications Strong expertise in Bayesian methods, python coding
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on cochlear nucleus and brainstem circuits using Neuropixels electrophysiology and two-photon imaging. Develop and apply custom computational pipelines (e.g., Python/MATLAB) to analyze large-scale neural