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with applications in the infectious diseases and the transmission of antibiotic resistance genes. Strong programming skills in Python or equivalent programming languages is a requirement. Since the
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with programming languages such as Python and SQL. We work with very large spatio-temporal datasets, so concrete experiences with spatial data tools such as PostGIS and QGIS are beneficial. Time-series
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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, with a strong background in solid state physics, quantum magnetism, surface science, and/or nanoscience Experience with scanning probe microscopy and programming in Python Hands-on experience with ultra
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research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. Informal enquiries may be
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programming languages (e.g., R, Python). Successful applicants should be self-motivated, well-organized, and able to work independently and collaboratively. Excellent written and oral communication skills
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QUALIFICATIONS Track record of mentoring and teaching laboratory and professional skills. Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g
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methods such as in-situ infiltration sampling, topographic and bathymetric surveying. Proficiency in programming languages such as Python and R. Responsibilities Research- Under general supervision, is
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-centred AI, digital twins, or related areas 3. Excellent publication record in high-quality journals and/or conference proceedings 4. Excellent programming skills, particularly in Python and/or C
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis