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academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational research
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professionally stimulating working environment including a comprehensive network of international collaborators. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual
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quantum technology, and it will be a great advantage to have a candidate who can build networks and contribute to this community. We are also looking for a candidate who can strengthen the department’s
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realistic settings referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract
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Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting
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the following criteria will be emphasised: submitted scientific work and your personal skills for completing the project within the time frame international experience and network qualifications within the areas
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The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary
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characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction
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to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools