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scans. Experience with age-depth modelling (c14 dates, stratigraphic correlation). Experience with Python or similar programming language. Documented very good oral and written proficiency in English
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programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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proficiency in English. Documented experience in CFD and numerical modeling, preferably with OpenFOAM, Nek5000, or LBM. Strong programming skills (C++, Python, or similar). Ability to work independently and
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the synthesis of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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programming skills (e.g., Python) Previous experience with analyzing sequencing data Excellent communication abilities, and a collaborative mindset Meritorious for the position: Demonstrated work on developing
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‑related aspects of nervous system function: https://ki.se/en/neuro/research/group-leaders-at-the-department-of-neuroscience SciLifeLab is a national research infrastructure providing unique technologies and
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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious