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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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equality and diversity as a strength and an asset. The doctoral programme Educational sciences, with a focus on mathematics didactics, is a scientific field that seeks to understand and contribute
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The division of mathematical physics spans both the faculties of natural science and engineering science (LTH), and it is a part of the department of physics. Research is conducted primarily in
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: Previous teaching experience, especially in control. Completed or ongoing advanced courses in control engineering or related mathematical and systems engineering subjects. We will put particular emphasis
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on a case-by-case basis. Additional requirements: Very good oral and written proficiency in English. Completed courses in Surface and Colloid Chemistry, Physical Chemistry, Mathematics, Physics
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, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met no later than when the employment decision is made. Therefore, we also
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Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements: Very good oral and written proficiency in English. Substantial programming experience. Assessment criteria
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Requirements: Completed PhD in engineering, bioinformatics, genetics, statistics, computer science, mathematics, computational biology, or a related discipline Good knowledge of bioinformatics/statistical
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, Section 39) Other requirements MSc in mathematics, statistics, computer science, biostatistics, or physics (need not be finished in the time of the application). Meriting Some experience in spatial
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credits and a second-cycle degree project of 30 credits in the field, or an MSc in engineering physics, engineering mathematics or mechanical engineering. Additional requirements Very good proficiency in