10 developer-"https:" "https:" "https:" positions at University Medical Center Utrecht (UMC Utrecht)
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
for clinical trials. The role provides exposure to a broad range of modern biostatistical methodologies and encourages methodological development in an interdisciplinary academic environment. This position is
-
for research, education, clinical work, leadership, and societal impact. You will join a stimulating environment where open science, team science, and personal development are central. See and read more: https
-
of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
-
are seeking an experienced computational immunologist who can solve complex problems in the field of immunology using innovative computational methods. We expect the candidate to develop and maintain
-
project where we will develop a next-generation diffusion MRI acquisition to map the organization and properties of fibers in the human brain cortex, both post-mortem and in-vivo. You will: Evaluate
-
. In this project we will continue development of a new high-throughput method that will speed up and improve such predictions. We will further develop a combination of automated patch clamping and
-
on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
-
psychosis. Key topics may include conceptual development of methods to link multilevel data including EEG recordings as well as symptom-, functioning-, and personal recovery indicators. Study how
-
for understanding CHD occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2) trigger factors that precipitate acute coronary
-
-vulnerability model provides a more comprehensive framework for understanding IS occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2