12 machine-learning-phd positions at Amsterdam UMC in Netherlands

2 PhD positions in NLP and ML for healthcare

Prerequisites: MSc degree in Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, Statistics, or related disciplines: Strong technical background and good experience with

PhD students (6) for research on Easy Listening in occupational settings

will research and develop machine learning-based technologies for acoustical scene analysis and improvement of the acoustical signal in the context of occupational communication in safety-critical

PhD position in hearing-related effort and fatigue research

. The candidates will also evaluate individualized interventions (e.g. machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic

PhD Stipend position in the field of audio scene analysis and speech enhancement

(e.g., machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic partners representing hearing-aid and communication systems

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

PhD The physiological and subjective signature of listening effort

. machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic partners representing hearing-aid and communication systems industries

PhD student in target site-pharmacokinetic modeling in brain tumor patients

Demonstrable experience with clinical pharmaceutical modeling or machine learning Excellent communication skills with researchers and clinicians Familiarity with R, NONMEM or Python Willingness to work GCP

Assistant Professor in Artificial Intelligence for Multi-Modal Pathology Data

should possess knowledge of state-of-the-art computational methods related to spatial data analysis, such as multimodal deep learning, self-supervised computer vision, multiple instance learning, panoptic

Bioinformatician at Department of (Experimental) Vascular Medicine

including machine learning gradient boosting / randomized tree approaches. Requirements Specific Requirements University degree; Finished a PhD; Hands-on experience with bioinformatic analyses (single cell

Postdoc Translational AI Laboratory: graph machine learning

within a Research Infrastructure? No Offer Description In recent years, many new directions in graph machine learning have been investigated. A major problem for all graph machine learning approaches