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Field
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability to communicate in Swedish. We
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to participate in collaborative work Desirable criteria Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations Good numerical skills Experience in field-theoretical methods
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provision of user-tailored climate services including products related to climate modeling. The successful candidate will have experience in two or more of the following areas: numerical climate modeling
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researchers. OCBE is internationally recognized, with interests spanning a broad range of research areas - including methods for high-dimensional data and data integration, especially in molecular medicine
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and laboratory-based methods to investigate the long-term frequency and magnitude of historic and prehistoric earthquakes and tsunamis at the Cascadia, Alaska, and Chile subduction zones. The data
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experience in many-body quantum theory and/or quantum computing. Experience with numerical methods or quantum simulation frameworks. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number
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of the stock structure of many fish populations in the Baltic Sea is limited. For numerous species, we lack detailed knowledge about changes and spatial variation in migration patterns, reproduction, size and
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and of research methods and techniques to work within established research programmes. Applicants should be able to demonstrate a successful track record in clinically-relevant psychological research
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure