63 natural-language-processing-phd Postdoctoral positions in Netherlands

Postdoctoral researcher in Responsible NLP and ML for healthcare

professional development. Requirements Specific Requirements Prerequisites: PhD in Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, Statistics, or related disciplines

Postdoctoral Researcher in ERC Starting Grant Project on Multiple Jobholders

economy is increasingly of a flexible and fragmented nature. Multiple jobholders [MJHs], or so-called moonlighters, can be considered emblematic of how work fragmentation and combinations affect the quality

Postdoctoral Researcher Ecological History at KITLV-KNAW - Leiden

. Selection process How to apply and more information Candidates are invited to submit their application in English. Applications must include, in three PDF files: A motivation letter. A short research proposal

Postdoctoral researcher (postdoc) in AI for acoustic biodiversity monitoring

: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and

Postdoc position on digital twin modelling for predator monitoring and meadow bird conservation

environment where technology, ecology and nature conservation meet. High tech biodiversity monitoring This project is part of a RAAK-PRO project called ‘Boeren, burgers en buitenbeesten ’, which aims

Postdoc DESTRESS; Linking biodiversity trends to contaminant pressures

and to take part in teaching efforts, including assisting in practical courses and supervising bachelor and master students. Your experience and profile: A successfully completed PhD degree in

Postdoc position on Scalable Energy-Efficient Deep Learning

energy efficiency of the developed models. Collaborate with interdisciplinary teams to apply these models to real-world problems in areas such as natural language processing, computer vision, and more

Postdoc position in rivers and flood resilient landscapes

The societal and natural pressures (e.g. climate change) on the rivers and riverine environment are increasing and become increasingly complex to manage, in particular regarding flood risk. Understanding impact

Researcher (Postdoc) Deep learning for geophysical observables extraction and inversion: Toward characterizing the Dutch subsurface

references, your publications, projects and working experience) An academic transcript of BSc and MSc education, including grades, and your PhD thesis or the latest draft in English (or if your PhD thesis is

A PostDoc (1fte) related to the EU Horizon project RESOURCE on simulating and analyzing the up-takin

potential refinements. Requirements Specific Requirements Selection criteria You hold a PhD in a relevant field (sustainability science, economics and/or industrial ecology). Knowledge of input-output