Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
staff position within a Research Infrastructure? No Offer Description Agroscope is looking for a: Postdoc 'Systematic Reviews Environmental Risk Assessment Non-Target Species' 8046 Zürich good food
-
the development of impact oriented new approaches to inventory our forest resources, decision support systems to manage our forests sustainably under risk, and translating our findings to policy and
-
of the general safety domain, a number of new approaches are being undertaken. This includes: the development of a safety knowledge management system; a toolbox for hazard identification and risk assessment
-
of the general safety domain, a number of new approaches are being undertaken. This includes: the development of a safety knowledge management system; a toolbox for hazard identification and risk assessment
-
Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the chronic wound formation Coordinate
-
research projects: Work on initiatives that span the globe, offering a chance to contribute to international efforts in personalized medicine and health technologies. Networking with leading experts: Build
-
, technical teams (25-30 persons) in charge of the services installation, with particular attention to the conformity of work and the compliance to the time schedule; Prepare the work order (IMPACT), risk
-
their supply chains, and gives them responsibility for risk mitigation and remediation in production sites. Select laws also prohibit companies from importing products associated with negative impacts such as
-
of the premises presenting a risk of flammable and/or toxic gas, and/or low levels of oxygen (cryogenics leak) and trigger safety actions. They will include a wide range of components such as gas/ODH detectors and
-
(proteomics, metabolomics, Raman) Combining Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the