Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
-
related research questions based on their interests and emerging findings. Through this, you will develop broad expertise in AI and multi-omics analysis and grow as an independent researcher prepared for a
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
-
modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
-
collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. Ribocure Pharmaceuticals AB, based in Gothenburg, is a clinical‑stage biotech company
-
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 Umeå university
-
candidates to be interested to learn these practical skills. While the project has and initial plan with funding from the Swedish Research Council (see below), the different parts of the project will be
-
, present results in group meetings and conferences, and write research papers based on scientific discoveries. Help supervise and mentor junior team members. Qualifications The ideal candidates should have
-
intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
-
research group is based at Scilifelab Campus Solna, an interdisciplinary life-science centre, and works to combine nucleic acid nanotechnology with selection and sequencing address several biomedical