Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
goal is to conduct impactful interdisciplinary research interfacing tumor biology, immunology, and neuroscience to investigate the role of neurons in regulating tumor immunity. Candidates will be
-
. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. There is no deadline and and the position will remain open
-
100%, Zurich, fixed-term ETH Zurich’s new Political Economy of Technology (PET) group at the Department of Humanities, Social and Political Sciences , led by Prof. Dr. Lukas Fesenfeld, is seeking a
-
human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations with
-
-inspired human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations
-
The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and
-
100%, Zurich, fixed-term The High-Resolution Weather and Climate Modeling Group at the Institute for Atmospheric and Climate Sciences (IAC) is recruiting a PhD student for a Swiss National Science
-
10th of April: Motivation letter (<1 page, German or English) CV (German or English) Listing of grades e.g. from My Studies Further information about our group can be found on our website . Please note
-
electrochemical assays with cell biology on micro-/nano-electronic devices. The aim is to develop molecular assays (genomics and proteomics) and cellular assays and support experimental work across a range of CMOS
-
postdoctoral researcher in Robot Learning who is interested in questions such as: How can we fuse representations of the world with modern learning-based methods to allow for larger scale / longer horizon? How