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to biological, imaging, or clinical data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with
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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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deploying multi-agent architectures, tool-using AI agents, or retrieval-augmented generation (RAG) systems. Advanced Technical Skills: High proficiency in Python and modern AI/LLM orchestration frameworks
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statistical/computational analysis (e.g. R, Python, ELAN); Strong written and oral communication skills; Ability to work independently and collaboratively across disciplines. We regret to inform that only
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rules - applicants must not have lived or worked in the UK for over 12 months in the 36 months prior to recruitment Experience in programming and computational modelling using languages like Python, C
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that is reflected in applicants' publication record. Skills and Experience: Programming in Python (must), Image processing (desirable). Basics of Si Microfabrication and familiarity with lithography
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 7 days ago
, including advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst (considered an asset); Experience in dashboard development and publication
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skills (e.g., Python) implementing computational analytical pipelines and familiarity with machine-learning frameworks are required. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 19
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, delamination, metastability effects) Identify gaps and contradictions in reported degradation knowledge and formulate hypotheses that connect findings across studies Develop data analysis procedures (Python
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience