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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 28 days ago
a Research Infrastructure? No Offer Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union, in which we have 12 open
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and
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within a vibrant international network of top interdisciplinary collaborators and partners on areas like youth well-being and mental health, inequalities and social stratification, population and
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on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms that protect the integrity and reliability of deployed AI
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 28 days ago
a Research Infrastructure? No Offer Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union, in which we have 12 open
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techniques. Programming experience demonstrated with good programming practice (maintaining code repositories, version control, R, Python). Experience in working with complex datasets. Interest in
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). These instruments exploit contrast variation, a powerful neutron technique, to resolve molecular-scale structures at complex interfaces invisible to other probes. The aim of the PhD project is to understand
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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comfort across complex urban environments. However, despite their widespread application, current approaches are mainly calibrated for near-stationary exposures, limiting their suitability for evaluating