Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Leiden University
- Fondazione Bruno Kessler
- Maastricht University (UM)
- University of Mainz
- University of Oslo
- Łukasiewicz Research Network - Krakow Institute of Technology
- Amsterdam UMC
- CESI
- COFUND QuanG
- Delft University of Technology (TU Delft)
- ETH Zürich
- Empa
- FCiências.ID
- Fundación IMDEA Nanociencia
- Fundación Investigación del Cáncer Universidad de Salamanca
- Hasselt University
- IMEC
- Inria, the French national research institute for the digital sciences
- Institute of Human Genetics of the Polish Academy of Sciences
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- LIVERPOOL JOHN MOORES UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Lulea University of Technology
- Medical University of Gdańsk
- Politecnico di Milano
- RMIT University
- SciLifeLab
- Technical University of Munich
- The University of Iowa
- The University of Manchester
- Trinity College Dublin
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Antwerp
- University of Cambridge
- University of Nottingham
- University of Twente (UT)
- University of Utah
- University of Würzburg
- Università degli Studi di Firenze
- VUB
- 32 more »
- « less
-
Field
-
at the Department for Functional Materials in Medicine and Dentistry (FMZ) / Center of Polymers for Life (CPL), Julius-Maximilians-Universität Würzburg (JMU). The candidate will work on advanced 3D bioprinting and
-
with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
-
are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
-
cells including macrophages). - Modelling of CKD-like vascular injury in 3D vascular organoids derived from induced pluripotent stem cells (iPSCs), exposed to phosphate, uremic toxins and pro-inflammatory
-
their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
-
predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
-
an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model
-
to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
-
to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
-
characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability