29 power-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs in Sweden
Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
Do you want to contribute to groundbreaking research in the wind-powered ship propulsion field? This is an exciting opportunity for a postdoctoral position at the Division of Marine Technology
-
energy system is undergoing a fundamental transformation driven by the rapid integration of renewable energy, electric vehicles and large-scale AI data centers. Power electronic converters play a pivotal
-
relating to human rights on the local level and the role of civil society organisations in local communities. Good capacity for qualitative research methods in human rights research. Ability to take
-
English. Good ability to work with others. Good ability to work independently. Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial
-
collaborative skills and the ability to work in interdisciplinary research environments as well as with external collaborators. Assessment criteria This is a career development position primarily focused
-
, molecular biology or a closely related discipline. The doctoral degree must have been obtained no later than the date on which the appointment decision is made. ability to develop and conduct high-quality
-
working with Cryo EM Experience supervising / co supervising Masters / PhD students Experience of multi-disciplinary collaboration and teamwork Evidence of ability to work independently Preferred
-
documented ability to write scientific publications Experience from supervising BSc, MSc theses or other kind of student work Other qualifications: A background in constitutive modelling and the finite element
-
function, or related fields Experience in combining neuropsychological and motor test data in research studies Strong analytical skills and attention to detail Ability to work independently and drive
-
expected to have documented experience of: developing statistical methods for functional data, specifically with a focus on sample size estimation or reliability for functional data. ability to work both