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laboratory-scale R&D on PCM-integrated heat exchangers, develop modelling tools (e.g., COMSOL, ANSYS, TRNSYS, MATLAB) for thermal and system-level optimisation, and support prototype fabrication
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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for exempt full-time employees in your first year. Qualifications Required Education and Qualifications: Ph.D. or other doctorate level equivalent in Space Plasma Physics Data analysis software, e.g., matlab
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assessments. Key responsibilities Design and conduct experiments. Operate and maintain gas measurement equipment and flux chambers. Process, analyze, and visualize large data sets using Matlab, R, Python
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We expect the candidate to: • Hold a PhD in Neuroscience, Computer Science, Neural Engineering, Biomedical Engineering, Data science, or a closely related discipline. • Proficiency in Python/Matlab
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criteria - Master simulation tools such as SPICE, VHDL(-AMS), Cadence, as well as calculation and modeling tools such as Matlab/Octave or Python. Skills in finite-element type numerical simulation will be a
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of neurological signals. Connectivity techniques between electroencephalographic signals. Studies of neurological diseases. Software: MatLab, Phyton, R or similar. Specific Requirements Knowledge: Biomedical signal
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. Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage. Practical experience in prototyping or testbed experimentation is an advantage. Soft skills Strong
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(Bioconductor), MATLAB (Biologia computacional), Python (ex. pyCOBRA, pyMEW) e Bioiformatica para pesquisa em bases de dados. - Integração multiomica (ex. HPLC, GCMS)). - Agricultura de precisão. -Precision and
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, Engineering, or a related discipline, with strong programming experience (e.g., Python, JavaScript, MATLAB) and proven capability in developing interactive visualisations or interfaces. You will demonstrate