Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
within a Research Infrastructure? No Offer Description Per June 1st, 2024, we have 3 vacancies for PhD students to work in the Department of Physiology at Amsterdam UMC (ultimate start date September 1st
-
staff position within a Research Infrastructure? No Offer Description About the projects Per June 1st, 2024, we have 3 vacancies for PhD student to work in the Department of Physiology at Amsterdam UMC
-
to disease models; Align these findings with human disease. Requirements Specific Requirements You have a master's degree in a field related to biomedical sciences, (medical) biology, biochemistry
-
Alzheimer’s disease such as ApoE4. In this PhD project, you will apply this previous knowledge to develop cellular screening assays in order to identify novel candidate interventions for Alzheimer’s disease
-
LevelMaster Degree or equivalent Skills/Qualifications You have a master's degree in a field related to biomedical sciences, (medical) biology, biochemistry or bioinformatics; You have experience in molecular
-
for a highly motivated and enthusiastic PhD student with: An completed MSc in a relevant field; Preferably a background in stem cell biology and molecular biology. Experience with retinal or relevant
-
Requirements We are looking for an ambitious PhD student with: A strong background in molecular biology and with affinity for genomics and exploring new technologies; The candidates should be fluent in English
-
these findings with human disease. Requirements Specific Requirements You have a master's degree in a field related to biomedical sciences, (medical) biology, biochemistry or bioinformatics; You have experience in
-
and Siglec receptors and analyze their capacity to block pathogen infection and to target antigens to antigen presenting cells. As a PhD student your main tasks and responsibilities are: Clone
-
origin. You will work closley with experienced bioinformaticians and two other PhDs appointed to this project that ultimately should lead to a dynamic integrated risk-model based on blood, tissue and