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discovery through user research, prototyping, and experimentation to validate solutions that are feasible, usable, and valuable Write production-quality code in Python/Django and JavaScript/React/Vue while
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analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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, Mechanical Engineering, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High
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, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High proficiency in English
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methodological training in (bio)statistics and/or machine learning Interest in developing rigorous methods for biomedical, clinical, or public health data Experience with statistical computing (R and/or Python
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and/or machine learning Interest in biology or molecular biology, microbial ecology Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems. Fluency in spoken and