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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st
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, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25
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motivated PhD candidate to conduct research in the field of evidence synthesis. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions
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they release their toxic cargo to kill the cancer cells. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and
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to carrying out a project entitled “Sequential and adaptive methods for living network meta-analyses”. The research fellow must take part in the faculty’s approved PhD program and is expected to complete
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or numerical methods in the context of environmental research is highly advantageous. Experience with the interpretation of field data is advantageous. Grade requirements: The norm is as follows: the average
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how NK cells regulate their release. This work will be tied up with dissecting the functionality of different EV subsets. Methods include, but are not limited to, in vitro culture of primary human cells
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in