Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
invites applications for the position as PhD student (f/m/d) We are looking to recruit a PhD student for projects in structural studies of membrane trafficking using cryo-electron tomography (cryo-ET). We
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
, the Chair of Ultrafast Microscopy and Photonics (Prof. Alexey Chernikov) offers, subject to the availability of resources, a position as Research Associate / PhD Student (m/f/x) (subject to personal
-
Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
-
Description Description: PhD project supervised by Prof. Dr. Magdalena Götz (Biomedical Center LMU Munich & Institute for Stem Cell Research, Helmholtz Center Munich). The project investigates
-
Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms