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develop federated methods which can handle heterogeneous and inconsistent medical data. This involves harmonization of data from different hospitals (without having all data in one place), developing new
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of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative
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, and computational modelling. Depending on the interests of the successful candidate, different research directions, from quantitative genetics to molecular biology and computational modelling
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD student working
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: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
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statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
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(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python
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R and/or python. Familiarity with biodiversity assessments, aquatic ecology, boreal forest ecology, and forest management. Ability to work both independently and in collaborative teams. Field work
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Luleå University of Technology seeks a driven and committed PhD student with a focus on the effects of climate change and different adaptation measures on urban streams. Take the opportunity to join one