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research. Assesment criteria For this position, particular emphasis will be placed on the following: Scientific originality and quality of the doctoral thesis. Experience and competence in scientific methods
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to building our profile in modern computational statistics and statistical machine learning, as exemplified in our new joint Master’s programme with Computer Science. In the position you are entitled to a
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funding, independent research, participation in international collaborations, and the degree of progression since the dissertation. High competence in qualitative methods and ethnographic fieldwork is
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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(iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare lab conducts research in the field of precision diagnostics and medicine
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cycle Assessments. The position will be also focusing on the development of digital methods for accelerating the renovation potential of old constructions. The candidate will mainly focus on research
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge
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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment
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of the projekt We aim to discover and study the function of new proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental approaches. The position