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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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of biomass conversion technologies. Experience in programming with Python. Experience in Life Cycle Assessment. Experience in techno-economic analysis. Experience in scientific writing and communication
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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Good knowledge of scripting and automation (e.g. Python or Bash) Strong interest in developing further within the field Excellent collaboration and communication skills Ability to work independently and
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong
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: Experience in atomic scale modeling Experience from modeling reaction kinetics Experience in python programming What you will do Perform research in the project Develop your own scientific concepts and
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-tier venues. Strong programming skills, preferably in Python and PyTorch. Strong written and verbal communication skills in English. The following experience will strengthen your application
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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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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