Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Leiden University
- University of Groningen
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Wageningen University and Research Center
- ; Max Planck Institute for Psycholinguistics
- Amsterdam UMC
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- 3 more »
- « less
-
Field
-
Criteria A MSc degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field; Strong knowledge of and experienced with statistics, machine learning, and stochastic
-
are welcome to apply. A keen interest in language evolution, language change, language learning, human evolution, and communication. Experience in conducting empirical research (e.g., experimental design
-
related (e.g., neurolinguistics, speech therapy, psychology), experience with neuroimaging or willingness to learn (i.e., navigated Transcranial Magnetic Stimulation, Direct Electrical Stimulation), and
-
be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment. Supervision of MA and MSc thesis related to the PhD project may be suggested one
-
(position A), data collection to quantify ecosystem functions and services (position B), advanced statistical data analyses and modelling, and writing manuscripts. You will work here Both positions are funded
-
treatment for cartilage defects combines autologous chondrons with allogeneic MSCs and is currently in phase III clinical trials. This project will build further on our expertise in this therapy and our
-
to sustainable food production; an interest in genomic prediction and statistical and quantitative genetics; a desire to further develop your research skills and apply them into practice by developing solutions
-
for perceptual and creative relevance; Curate and/or utilize benchmark datasets of pareidolic visuals, and apply statistical and machine learning methods to analyze visual data and model behavior; Publish and
-
regulation of digital markets and platforms. We are seeking applicants with a robust quantitative background (e.g. analytical modeling, econometrics and/or machine learning). Candidates who hold an MSc, MPhil
-
Website https://www.academictransfer.com/en/jobs/350125/phd-candidate-in-causal-learnin… Requirements Specific Requirements You are/ You have: a MSc degree in statistics, machine learning, data science or a