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, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R or Python) and familiarity with advanced analytical techniques (e.g., causal inference
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Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent
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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python
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(NVS), particularly in epilepsy. designing, implementing, and validating numerical solvers using MATLAB and Python, leveraging realistic brain geometries derived from MRI. integrating multimodal
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geospatial datasets, and programming languages (either R or Python). The ideal candidate should have excellent academic record, authored/co-authored publications, contributed to significant scientific meetings
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, including ability to prioritise workload and work to deadlines. Desirable criteria Scripting skills and experience in one or more open-source languages (e.g. Python, R) Prior experience/knowledge of cannabis
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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evaluations Solid programming skills in at least one relevant language (e.g., Python, C++) Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure Strong written
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Language Processing, or a closely related field* Demonstrated experience with computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries