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Field
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& spatial omics sequencing methods to address key biological questions, particularly in cancer research. Our focus is on investigating the molecular mechanisms underlying rare and aggressive cancer cell
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work to discover cell specific isoforms and relate them to pathological signatures and genetic risk factors in ALS patient tissue. You will apply supervised and unsupervised machine learning methods
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research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science
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identification and control methodologies. The methods will be broadly applied and consolidated in conjunction with a large number of academic institutes and SMEs, who are highly interested in adopting
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department to create artificial structures with tailored electronic properties [8]. Relevant references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and
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application of these methods to answer biological questions, in close collaboration with domain experts. You will work on the following research objectives: Develop methodology for the inference of causal
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interaction research; Who has experience with human-AI interaction research; Who has experience with mixed-methods research (quantitative-qualitative research methods), preferably including design-based
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anticipate and cope with the related uncertainties. Methods will include qualitative interviews and scenario workshops. The position is embedded in the HySuccess project that is part of the national research
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(government, NGO, etc.), life histories and a range of visual and participatory methods. You will also organize a workshop at the local level with key stakeholders and user groups during fieldwork. You will
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, etc.), life histories and a range of visual and participatory methods. You will also organize a workshop at the local level with key stakeholders and user groups during fieldwork. You will develop a