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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and
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approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have courses in teacher education
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
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). The division offers a wide range of courses at both undergraduate and advanced levels in several degree programs at Linköping University (LiU). About the employment A position as an amanuensis is regulated in
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
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. Qualifications Qualified candidates should possess a Bachelor's degree in a relevant field, such as Architecture or Engineering, with expertise in 3D modelling in Rhino, building simulation, visual programming and
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your own studies. The doctoral programme comprises 240 credits for a Degree of Doctor and 120 credits for a Degree of Licentiate. The doctoral appointment is a paid position that offers a combination of
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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department currently has approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have
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another way. You should have excellent programming skills, preferably C++, and good knowledge of graphics programming. Furthermore you should also enjoy solving algorithmic challenges. The position also