Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- Mälardalen University
- University of Lund
- Jönköping University
- Nature Careers
- Blekinge Institute of Technology
- Linnaeus University
- Uppsala University
- 3 more »
- « less
-
Field
-
This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
-
fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
-
Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
-
computational and data science capabilities in Swedish life sciences. DDLS is establishing a research school for 260 PhDs in academia and industry. The aim is to educate highly skilled and competent professionals
-
. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a
-
career. Read more about the research at The Department of Chemistry – BMC at our website . Project description This PhD project will be performed in the Senger lab in close collaboration with
-
Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
-
. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
-
, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
-
cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with