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modeling of water quality and quantity in agricultural systems. At the division, there are about 35 employees and around 20 PhD students. The current position is within the Remote Sensing and AI in Hydrology
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position is within the Remote Sensing and AI in Hydrology research group. The Department of Building and Environmental Technology has a stimulating and international environment consisting of PhD students
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harmonic generation. The project involves pulse compression in a multipass cell, pulse shaping in both time and frequency domains, beam shaping using spatial light modulators (SLMs), and generation of new
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to pipe flow, compressed air systems, or environmental technology will be considered an advantage. In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees
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species, in heterogenous forest and monocultures. The research approach make use of data from existing experiments, remote sensing and drone monitoring. In many cases the delivered models are supposed
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-tax)- Minimum 28 paid vacation days per year- A collaborative, inclusive team that values not only excellence, but also a good sense of humor 😄- Access to cutting-edge labs, mentorship, and a strong
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thermal conductivity b) Development of hBN thermal interface material that combines a high degree of compressibility and recovery c) Modeling, simulation and characterization of phonon transfer across
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of cells/tissues and biochemical reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and
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of cells/tissues and biochemical reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents