Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Context Conventional optical microscopy techniques, such as confocal microscopy, are widely used in biology for investigation on cellular and sub-cellular structures. However, their spatial
-
? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
-
. • Strong organizational skills, project management capabilities, and team spirit. • Flexibility and proactivity in a startup environment. Education • PhD (preferred) in physics, materials science
-
at the department integrate basic and translational, molecular and computational approaches with a focus on cancer biology, as well as clinical research projects in human health and disease. The DLSM cooperates with
-
machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
-
The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
-
Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
the Master’s 2 and the Graduate Programme “Materials Science” option “Innovative materials, advanced technologies and modelling”. These lessons are necessary to study the behaviour of biobased products
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission