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of single cell imaging data. Experience with programming language (e.g. Matlab, R or Python). Excellent communication skills. Any of the following will be a plus: Experience with mass spectrometry. Experience
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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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Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa | Spain | about 2 months ago
programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected
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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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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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(Python, R, MATLAB). Preferred Qualifications Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial