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Field
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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photonic design Proficiency in Ansys Lumerical, Tidy3D, Python, MATLAB, and GDSfactory Strong written and oral communication skills Ability to work independently under strict timelines with excellent
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learning/analysis. Prior research experience and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python
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microscopy). - Understanding and modification of multi-sensor measurement architecture and control of multiple instruments (Bonsai, LabVIEW). - Data analysis in R and Python and creation of figures
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a related field Experience in python is required Experience in flow chemistry Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop
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Requirements: Doctoral degree in Chemical Engineering, Chemistry, Computer Science or a related field Proficiency in python and software development Experience with laboratory automation Skilled in database
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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optimization, and be proficient in Python and modern ML/RL libraries. Experience with robotic control systems, laboratory automation, simulation platforms, or interfacing software with hardware is highly
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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potential flapper skate egg-laying sites. The postholder will also generate high-resolution maps and reproducible analytical workflows in R, Python, and GIS platforms. The role involves close engagement with