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Field
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with infrastructure. Awareness of the needs in processing and handling of sensitive data. Excellent oral and written communication skills. Ability to convincingly convey the excitement and impact of a
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an outpatient clinic that travels to stables and farms to examine and treat horses and farm animals. The horse clinic receives approximately 5,000 horses annually. We currently have approximately 50 employees and
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specialization in Building Information Modelling (BIM) within the building process (planning, construction, production) and/or in the operational phase. Knowledge and experience in the use of relevant tools within
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need Requirements for the position are: A doctoral degree in a relevant field including experience of high-performance computing, machine learning or artificial intelligence A strong track record of
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leadership assignments, and expertise and suitability required in general to perform the work duties well. The eligibility and assessment criteria can be found in the Appointments procedure for Teachers
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representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 30 August 2025
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-solving skills Initiative and a proactive work approach Flexibility and adaptability The ability to collaborate and treat colleagues and students with respect We value qualities that contribute to improving
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researchers at other departments and units within the Faculty of Arts and Humanities in research, teaching and collaboration within Várdduo's area of operation. Currently, the Faculty of Arts and Humanities
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the field, you will wake up early, help with chores at camp, work potentially a long day in the field and either process data collected upon returning to camp or help prepare dinner. Field trips are typically
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of organisms, and how these processes respond to environmental changes. Recent advancements in plant and animal physiology have been accelerated by the use of novel single-cell and tissue analysis techniques