Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- Wageningen University & Research
- University of Groningen
- University of Twente
- Amsterdam UMC
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Hotelschool The Hague
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Delft University of Technology
- Erasmus University Rotterdam
- HFML-FELIX
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 22 more »
- « less
-
Field
-
Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
-
) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
-
, and the use of discarding low-quality entanglement (cut-off time). We will use simulation and analytical calculation for doing so. As part of the Doctoral Network collaboration his position includes
-
the Principal Investigator. Strong knowledge of qualitative research methodologies and familiarity with participatory research approaches are an asset. During your PhD, you will collaborate with the PI and a
-
projects using international cohorts and registries. Analysing data on reproductive outcomes, hormonal health, pregnancy and disease trajectories. Collaborating with international experts, clinicians
-
PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
-
from machine learning methods to more traditional statistical and econometric techniques. We are driven by science with purpose, pushing the academic frontier by publishing at the highest level in
-
. FIRM consists of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a PhD position within Pillar 3. You will collaborate closely with the PhD candidates in
-
on gendered labour across different transimperial locales. If selected, you will carry your own PhD research as part of this collaborative research team, and will focus on one of the following historical cases
-
collaborate closely with the PhD candidates in the other pillars, be supervised by researchers at the University of Amsterdam, and work together with experts from the field. This is what you will be doing In