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? No Offer Description Are you fascinated by the rapid evolution of Earth Observation (EO) and eager to shape the next generation of validation methods for near-real-time land change monitoring? Do you
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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven
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to develop 2D and 3D NMJ models for DM1, consisting of different combinations of patient-induced pluripotent stem cell (hiPSC)-derived neuronal and muscle cells, allowing the dissection of pathological
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in the brain plays an important role in development and neuronal finetuning. Frequent adolescent cannabis use (daily or near-daily) can have lasting impairments in information processing speed and
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on performance during Fischer-Tropsch synthesis under intermittent conditions using operando scanning probe microscopy, developed in our group. Other characterization methods such as low-energy electron
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aims to contribute to health maintenance and personalized medicine by unravelling lifestyle and disease-induced derangements in metabolism, and by developing targeted nutritional, exercise and drug
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outcomes across Europe. This research is part of the Horizon Europe project NatuRISE (NATUre Restoration Impact assessment for Socio-Economic and ecological benefits). NatuRISE develops new EU- and local
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inter- and transdisciplinary collaboration. Our shared mission is to develop strategies towards the design and implement a new generation of transparent, citizen-empowering AI systems, with a focus on AI
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duration in gene regulation — bridging statistical physics, stochastic processes, and real biology. Job description During the development of an organism, gene regulation allows proteins to be expressed so
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for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled