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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with
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, Python or Bash programming languages) as well as experience in analysing sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is considered
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) must be met by the beginning of the employment. Other requirements are a good computational background (basic knowledge of R, Python or Bash programming languages) as well as experience in analysing
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in spatial analyses Excellent scientific writing skills, including ability to lead high quality multiple-authored journal papers in an efficient manner Strong ability to work independently and to
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physics or related field. Strong background in nuclear physics experiments. Proficiency in computational methods and programming (e.g., C++, Python,..). Interested in research and eagerly pursuing
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nucleosynthesis and astrophysical simulations Good proficiency in computational methods and programming (e.g., C++, Python, Fortran). Excellent communication and teamwork skills. Ready to work in an international
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Ph.D. degree in nuclear physics or related field. You have a strong background in nuclear astrophysics/nuclear physics experiments. Proficiency in computational methods and programming (e.g., C++, Python
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, gating strategy development, and cell sorting Sample preparation and dissociation protocols for nuclei and/or cells, ideally across multiple tissues including challenging tissues (e.g., skin) High
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to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using combinations of multiple ‘modes’ of expression. These methods and
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combinations of multiple ‘modes’ of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data