Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Linköping University
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Karlstad University
- Umeå University
- Lulea University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Karlstads universitet
- Lunds universitet
- Karolinska Institutet (KI)
- Stockholms universitet
- Umeå universitet
- University of Gothenburg
- 8 more »
- « less
-
Field
-
of course transcripts, PhD degree certificate and other certificates no more than 10 scientific publications and no more than 5 materials intended to convey knowledge, such as textbooks, computer programs for
-
or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
-
and/or functional imaging or application of computational modeling, machine learning and AI to understand cellular function. At least five years’ experience working within the university system, another
-
passion for learning and a desire to work in a multidisciplinary and open team. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at Chalmers, you are
-
lecturer, applicants are required to hold a PhD or equivalent academic qualifications in analytical chemistry. The position is primarily intended for applicants who have completed their PhD, or acquired
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
-
in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about
-
in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about