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Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and structure analyses (eg. structure prediction and docking); knowledge
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at the Doctoral School (i.e., 1st March 2026). Specific Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and
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related field; experience with programming and modelling (e.g., Python, R, NetLogo, AnyLogic, or similar); a strong interest in urban health, physical activity, and environmental modelling; analytical and
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languages (Python/MATLAB) commonly used in machine learning applications, is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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characterisation techniques is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication skills and
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modelling; Knowledge of spectroscopy is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication
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. Good programming skills (e.g., C/C++, Java, or Python) and experience in (or an interest in working in) the area of cybersecurity while conducting practical research. Software reverse engineering (Frida
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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a relevant subject (computer science, mathematics, or related subject) Proficiency in English (both oral and written) Python programming skills. Solid mathematical background is desirable. Studentship