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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the recruitment process we will place great emphasis on the candidate’s
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(https://github.com/LDMX-Software/ldmx-sw ), written in C++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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motivated basic research, education and faculty recruitment. Read more: https://wasp-sweden.org/ Qualifications To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have
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-field fracture modelling, contact and micromechanics of particulate or composite materials, mechanical testing and X-ray tomography, and programming (e.g. Python, C++ or Fortran). An innovative mindset
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international
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working knowledge in Python What you will do You will develop a microfluidics system which will be employed at small angle scattering beamlines at the ESS to study nanoparticle structures and interactions