Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
outputsDisseminate results through scientific publications in top AI tier-venuesProvide guidance to PhD and MSc studentsContribute to teaching and advanced seminarsDesign and executing large-scale experimental
-
the relevant training Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in
-
academic medicine and research. Applicants must hold (or be about to hold) a research PhD alongside their medical degree or equivalent clinical professional qualification. Application deadline: 30 April 2026
-
for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
-
will be returned. The PD1 position is intended for early stage researchers, either just after completion of a PhD or for someone entering a new area for the first time. If you have already completed your
-
also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
-
for new catalyst compositions using DFT-calculations. Qualifications The successful candidate is well-motivated, hardworking, and willing/able to work as part of a team. The candidate should have a PhD
-
to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as requested and appropriate. Human
-
Supervision and mentoring of PhD students and technical staff Preparation of manuscripts, reports, and presentations for international conferences Active participation in a highly collaborative international
-
are entitled to an appropriate amount of time during working hours for their own scientific further qualification What we are looking for PhD in life/natural sciences (cell biology, molecular biology, genetics