Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- Nature Careers
- University of Utah
- DAAD
- University of Oslo
- CWI
- Humboldt-Stiftung Foundation
- NTNU - Norwegian University of Science and Technology
- ; Newcastle University
- La Trobe University
- Leibniz
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University of Denmark
- University of Minnesota
- ;
- ; Aston University
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Manchester
- ; University of Exeter
- ; University of Leeds
- ; University of Warwick
- Administrative Headquarters of the Max Planck Society, Munich
- Canadian Association for Neuroscience
- Cranfield University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Swinburne University of Technology
- The Norwegian School of Sport Sciences
- University of Cambridge
- University of Copenhagen
- University of Washington
- 25 more »
- « less
-
Field
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 17-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position at the intersection of optics, molecules and biophysics
-
with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
-
of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
-
Job Code: 1858 Job Offer from May 01, 2025 PhD Student (m/f/d) at the Dioscuri Centre for Single-Molecule Optics (Prague, Czech Republic) Are you ready to push the boundaries of life science
-
per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
-
will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
-
flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
-
, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
-
of analysis and visualization software Very good written and spoken English skills are required Furthermore, experience in dealing with the ICON model and the scientific utilization of ICON data is an advantage
-
purification is desirable but not necessary. Candidates with physics and physical chemistry are encouraged to apply. Knowledge of coding and image analysis is desirable but not necessary. As well as supporting