Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Radboud University
- Leiden University
- University of Twente
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Utrecht University
- Wageningen University and Research Center
- Wetsus - European centre of excellence for sustainable water technology
- Erasmus University Rotterdam
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Leiden University; Leiden
- Wageningen University & Research
- CWI
- Eindhoven University of Technology (TU/e); Eindhoven
- University of Twente (UT); Enschede
- Vrije Universiteit Amsterdam (VU)
- Radboud University; Nijmegen
- KNAW
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- Leiden University; 's-Gravenhage
- Radboud University Medical Center (Radboudumc)
- University of Groningen; Groningen
- Utrecht University; Utrecht
- AMOLF
- AcademicTransfer
- Amsterdam UMC
- DIFFER
- Delft University of Technology
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Erasmus University Rotterdam (EUR); Rotterdam
- Radboud Universiteit
- Radix Trading LLC
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Amsterdam
- Wageningen University & Research; Wageningen
- 40 more »
- « less
-
Field
-
collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
-
18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Physics
-
to participate in the creation of complex machines that have never existed before? Do you enjoy sharing your knowledge with younger group members? If yes, then maybe you want to work as a research assistant. The
-
such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
-
, machine learning, and programming (preferably Python) is highly valued. Effective communication with clinicians and interdisciplinary researchers is crucial, and excellent proficiency in English is required
-
pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
-
master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
-
, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
-
, Industrial Engineering, or related discipline; Affinity and/or experience with computer programming, statistical learning, and optimization techniques; A good team spirit and feel at home at the intersection
-
Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management, handling stress