113 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"IMEC" positions in Sweden
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fulltime studies). • Fundamentals of programming in a high-level language (Python, C/C++) in a Linux environment • Be comfortable working in an English-speaking group One or more of the below are seen as
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statistical analysis plan for the assessment of the environmental impact of the two treatment strategies in the REDUSE trial. Qualifications To be eligible for the position, you must: Have a PhD degree in
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measurements and in software development and programming with Matlab, Python, and/or C. International work experience or experience in national and international networks. Experience in collaborating with
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diffraction, spectroscopy, thermodynamics, or electron microscopy as well as knowledge of basic programming are meritorious. Consideration will also be given to good cooperation skills, drive and independence
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can understand, use, and critically examine AI - while preparing future teachers for a school system where AI is becoming increasingly important. The research program is characterized by
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of students in several of the Master programs is being increased, and the course offerings related to battery technology and electrification are being strengthened. Subject and project description This project
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, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly learn new techniques, and strong time management skills. Strong collaboration and communication
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accelerators in synchrotron facilities is a considerable advantage You enjoy programming, and have experience with Python, and/or Matlab You perform well as a shift worker, and are willing and able to work
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phylogenetic analysis of viruses or bacteria. Experience in sequencing and genome assembly. Very strong programming skills in Python. Experience in developing user-friendly software for comparative genome
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to plan and carry out research of high quality, teaching skills. Profound knowledge of numerical methods for partial differential equations. Knowledge of uncertainty quantification or computational