Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- CWI
- Erasmus University Rotterdam
- Leiden University
- University of Twente
- University of Groningen; Groningen
- University of Twente (UT)
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- Radboud University
- Utrecht University
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- AcademicTransfer
- Delft University of Technology
- Erasmus University Rotterdam (EUR)
- KNAW
- Maastricht University (UM); Maastricht
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- VU Amsterdam
- 16 more »
- « less
-
Field
-
, and machine learning for data analysis. This includes an intrinsic motivation to expand your horizon, ablilty to learn quickly, and strong communication skills to easily connect with other experts in
-
this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale
-
and neural networks for chemical property prediction. You will be part of the Big Chemistry consortium and will also be involved in training and teaching BSc and MSc students (10% of your working time
-
communication skills, to publish scientific papers and give compelling presentations. You are energetic and enthusiastic to explore the frontiers of precision microfluidics and cryo-EM. You are willing to work in
-
, with good communication skills. The ability to work independently and collaborate with an interdisciplinary group. Highly motivated and creative. Experience in presenting and publishing scientific work
-
more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why
-
has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-year PhD position is available
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
-
also be part of the MBIC Graduate School, which provides additional training and networking opportunities. Predictive processing is increasingly recognized as a key computational principle of brain
-
; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques; excellent (spoken and written) communication skills in English; proactive in coming up with