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- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
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Field
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optoelectronics, molecular energy conversion, and light-responsive technologies. The project combines advanced targeted organic synthesis, with particular emphasis on the discovery of innovative synthetic
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Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of partial differential equations
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
, user training, and operation of state-of-the-art cytometry and cell culture technologies. The role includes responsibility for instrument management, biosafety compliance, quality assurance, technology
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 2 months ago
bioengineering (Bock Lab , CeMM/MedUni Vienna)Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology ), we develop agentic AI and “virtual cell
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bioinformatic skills to patient single cell data and contribute to science that makes a difference? Then this project is for you! We are offering a PhD or Postdoc position (f/m/d) in computational biology within
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to patient single cell data and contribute to science that makes a difference? Then this project is for you! We are offering a PhD or Postdoc position (f/m/d) in computational biology within the Taschner-Mandl
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
pathogens, and the development of cell-, organ-, and organism-based biomodels. Main Research Field: Immunology and Infectiology Where to apply E-mail [email protected] Requirements Research
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and rheological measurements. • Develop and implement workflows for the isolation and characterization of melanoma cell subpopulations associated with distinct phenotypic states (e.g., migratory and
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close