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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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vision to reduce algorithmic complexity by orders of magnitude, e.g. by tracing paths of trees and extraction from knowledge bases (KBs), as opposed to pure DL Defining specific CSK-premises (in
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high throughput screening. Responsibilities and qualifications The focus is on genetically engineered bacteria to produce milk proteins, and your overall emphasis will be on research in the field
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Job Description The Full degree team in the office of International Education is seeking one student assistant for 12 hours per week. Primary areas of responsibility If you are a structured and independent student, who likes to assist others, then we might have the job for you. Your primary...
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, fluorescence microscopy, computational image analysis and statistical data analysis. Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and
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of an application for the specific project formulated by the applicant. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving
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. The project aims to reduce carbon emissions from computation by designing algorithms to schedule computation at times of low carbon intensity of the electricity supply. The challenge is that due to high
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pluripotent stem cell biology. This PhD project aims at exploring approaches to revert changes in lipid metabolism associated with genetic risk factors for Parkinson’s Disease in induced pluripotent stem cell
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your particular niche will be part of the position. The group has a very strong infrastructure and internal teaching program and covers multiple areas of pharmacoepidemiology, including method
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relevant field such as Computer Science, Biomedical/Electronic/ Mechanical/Automation Engineering, Applied Mathematics/Physics. Highly motivated to build machine learning models and algorithms for real world