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Field
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mutations in nuclear lamins cause lipodystrophies and associated metabolic diseases. More about the position You will be expected to carry out wet-lab 3D genomics experiments and analyze data in the context
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Python. You will work in a newly formed team of two postdocs and a PhD student, led by the PI (Ekaterina Ilin), and collaborate closely with both postdocs, who will be working primarily on a large optical
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using
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joining technologies, motor winding arrangements, and 3D-printed structures capable of mounting semiconductor devices within the motor architecture. 2. Thermal Management The harsh thermal environment
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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activities will include: o Human Brain Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
systems, and explore their integration into extrusion-based 3D printing for sustainable construction applications. The project offers a unique opportunity to work across materials science, microbiology
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delivery performance in relevant in vitro 3D tissue models. The project combines nanoparticle formulation, colloidal self-assembly principles and advanced physicochemical characterization with cellular and
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, manufacturing and experimental testing of composite materials, design of lightweight structures, 3D printing, cryogenic applications, sustainability of materials, among others. Duration of the grant: 1 years
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, generative AI, and blood flow modeling. You will: develop deep generative models (such as latent diffusion models, implicit neural representations, and flow matching) for uncertainty-aware 3D reconstruction