Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
We are looking for a highly motivated researcher with a PhD in Veterinary Virology or equivalent, to join our ongoing research project on lentivirus infections in sheep and goats. About the position
-
Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
-
Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
-
Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
-
This PhD student position offers a unique opportunity for a dedicated, curious, and independent person. You are interested in biological and chemical processes taking place in wastewater treatment
-
the study start date; otherwise, admission may be withdrawn. What we offer The PhD position is fully funded from start As a PhD student at Chalmers, you are an employee and enjoy all employee benefits. Read
-
at Stockholm University, we are announcing a position as DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology covers research that fundamentally transforms our
-
We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning