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Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research group is
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skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with
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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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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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skills with considerable experience with programming with python. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience
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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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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