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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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(R2) Country Sweden Application Deadline 13 Oct 2025 - 21:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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mathematics, computer engineering or equivalent. Desirable qualifications Proficient in mathematics, signal processing and machine learning it is an advantage to have a good knowledge of electromagnetic field
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research programme on sustainable and resilient food systems in Sweden. The programme is an established science-based knowledge platform, which actively works to encourage a transformation of the Swedish
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effectively, through publications in high-impact journals and presentations at leading international conferences Your profile A PhD degree in Electrical Engineering, Computer Science, Telecommunications, or a
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. The department currently offers a bachelor’s program in building technology, a bachelor’s program in building design, and a two-year master's program in sustainable construction technology. We are also developing
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). Candidates should have a Master’s degree in physical chemistry, computational chemistry, biophysics, computational biology, biochemistry, or equivalent. Candidates should have demonstrated interest in
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socially sustainable, resilient and that delivers healthy diets. The programme is a collaboration between the Swedish University of Agricultural Sciences, Stockholm Resilience Centre at Stockholm University
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. Required qualifications: Admitted to the Fire Safety programme at LTH or to the programme on Risk, safety and crisis management with a fire engineering background at LTH or to an education equivalent judged
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to have a PhD degree in Robotics & AI or classical majors such as Mechanical/Electrical Engineering/Computer Science/Mathematics, with a specialization in themes such as robotics, systems & control