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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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to benefit from third-cycle education and have strong skills in written and spoken English. Proficiency in Swedish is considered a merit. Selection criteria Among applicants who meet the general and specific
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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, second and third cycle levels. The department is responsible for ca. 30 courses within SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science
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science, image analysis or machine learning methods (iii) Programming knowledge in Python (iv) Very good oral and written communication skills in English (v) Strong skills in cooperation and communication
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. Fluent spoken and written Swedish and English. Personal skills: Service-oriented – Always aiming to support programme goals and stakeholders. Structured – Skilled at managing processes, timelines and
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of publishing in highly ranked journals. experience in supervising students very good knowledge of English, both spoken and written Additional requirements are you to have experience in: developing engineered
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instrumentation at hard X-ray spectroscopy beamline Leading instrument development projects Combined XAS and X-ray diffraction, including XRD analysis Python programming for data reduction, gui and analysis
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of VR and/or physiological measurements for behavioural studies (for example a master thesis and courses within this domain) A very good oral and written proficiency in English. Good ability to use game
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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