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relevant discipline. Experience with modelling or simulation tools (e.g., MATLAB/Simulink, PSCAD, PowerFactory, or Python) is desirable.
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physiology. Experience with molecular cloning, bacterial strain engineering or fermentation is a plus. Data analysis skills (e.g. Python, MATLAB) or experience with metabolomics and mass spectrometry are a
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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release of hydrophobic drugs from lipid nanocarriers. The candidate will hold a M.Sc. in pharmacy and preferably has previous experiences with scientific programming (e.g. Matlab, R). The candidate must be
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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design; Proven experience in data processing and visualization (Python or MATLAB). 5. Eligibility: Applicants are eligible if they comply with paragraph a) of no.1 of article 2, of the Research Fellow
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, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods
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programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods would be advantageous. Eligibility and Application Due to funding restrictions