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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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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc students popularisation of science Specific Requirements Application procedure The information
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(Python, R, MATLAB). Preferred Qualifications Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial
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, and Abilities: Knowledge of particle accelerators and emerging particle acceleration techniques and technologies Experience with Python, MatLab or Julia programming language in online machine control
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. In addition, candidates need experience in quantitative imaging and working with large clinical datasets, strong programming skills in Python, MATLAB, or R, and excellent analytical and data analysis
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year experience in training laboratory animals Willingness to work as part of a team Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: Highly Preferred: MATLAB