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Python for code development and ML model training and inference, demonstrate excellent communication skills and be fluent in English, show strong interpersonal skills and the ability to work in an
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across
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Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and
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interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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, Vehicular Communications Experience in system modeling and simulation of communication systems Strong programming skills in MATLAB are required; experience with Python, C/C++, or GPU-based computing is an
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Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models is an advantage Strong analytical thinking and
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. Proven ability to work both independently and collaboratively in multidisciplinary environments. Excellent English written and verbal communication skills. Preferred Qualifications Python proficiency and
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure