141 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- University of Twente
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Amsterdam UMC
- KNAW
- University of Twente (UT)
- Wageningen University & Research
- University Medical Center Utrecht (UMC Utrecht)
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- Fryske Akademy
- Hotelschool The Hague
- Naturalis
- Radboud University Medical Center (Radboudumc)
- Sanquin Blood Supply Foundation (Sanquin)
- The Open Universiteit (OU)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- 15 more »
- « less
-
Field
-
on the field can be derived from first principles, and how these constraints can improve the technique's performance, particularly when embedded in modern machine learning models. The ultimate goal is to
-
will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
-
systems, or continuous-time and discrete-time LTI systems theory is a plus. Experience with mathematical modeling, optimization, numerical computation, algorithm development, or machine learning. Prior
-
, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
-
This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
-
improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
-
computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
-
to the development of sustainable materials for the hydrogen economy. You are an independent thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as
-
interaction, geo-information science, or a related field, with experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial
-
) 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