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analysis; strong letter of recommendation from master project supervisor; Beneficial skill: programming, including some languages of the following list: C, C++, Python, Matlab, Mathematica. Programming
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biological applications. Experience with the analysis of omics, imaging, clinical and other biomedical data is desired. Experience with computer programming is strongly preferred (R, Python and/or MatLab
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infrastructure ADDITIONAL REQUIREMENTS * experience in conducting research projects * programming skills in Python, Matlab, Simpack or similar environments * basic knowledge of the practical operation of the RTEC
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in
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post-processing and analytics skills using Matlab, python or similar programming language Have a strong experience of using design software and fabrication tools, such as CNC Have strong project
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-based hardware implementation, VHDL/Verilog modelling, C, C++, Python and MATLAB/Simulink programming. A proven background in laboratory measurements and circuit prototyping is required. The following
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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., Fura-2, GCaMP). Strong understanding of ion channel function and neuronal signaling pathways, especially in nociceptors. Data Analysis: Familiarity with tools such as MATLAB, Python, Clampfit, and ImageJ
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++, Python, and MATLAB programming, digital signal processing, hardware acceleration techniques, as well as Radio-Frequency measurements and lab equipment. The applicants, nationals of countries outside