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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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at the systems level – from molecules and cells to organs and the entire organism. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Aarhus, Denmark and the area
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, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four laboratories of the partnership adhere to the EMBL model for research organisation
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System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
facilities An informal and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight
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System, Computer and Communication Networks, Computer Theory, Machine Learning, Reinforcement Learning；Structural Engineering, Transportation Engineering, Water Resources Engineering & Science, Industrial
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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational