20 power-electronics positions at SciLifeLab in Sweden

Industrial PhD position – Automated generation of renal pathology endpoints and reports (DDLS Research School)

degree in a subject relevant to the project A strong background in mathematics Knowledge of machine learning Experience with natural language processing (NLP) and computer vision (CV) Ability to work in a

PhD student in diabetes and epigenetics within the DDLS program (DDLS Research School)

biology, computer science or a closely related field that the employer deems adequate for the position good ability in a scripting language such as R or Python, as well as working effectively in a Linux

Industry PhD Position at Antaros Medical (DDLS Research School)

spoken and written professional English is further essential, likewise is the ability to teach effectively in English or Swedish expected. Proficiency in medical image processing, image registration, 3D

PhD student in structure-based drug design with focus on machine learning (DDLS Research School)

The applicant must hold a master’s degree in biology, chemistry, pharmacy, physics, computer science or within another subject which the employer considers to be equivalent. The applicant must have good ability

Doctoral (PhD) student position in computational network-based cancer precision medicine (DDLS Research School)

. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and

Associate Researcher cryo-EM

(LU) are using cryo-electron microscopy. We work closely with the national facility for cryo-EM at SciLifeLab. LU has procured a 200 kV Glacios2 cryo-TEM. A well-equipped sample preparation laboratory

Doctoral student in Medical Science – Data-driven life science (DDLS Research School)

research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries

Postdoc Fellowship in Programmed Translational Stop Codon Readthrough

also requires some prior experience with computational biology (e.g., ability to work in Linux environment, basic scripting), although the successful applicant will receive extensive training and

Postdoctoral Researcher in deep learning modeling of the tumor microenvironment

mechanisms. We are specifically interested in cancer-stroma interactions in pancreatic cancer. The long-term goal of our lab is to enable computer-aided design of precision cancer medicine. The lab is situated

Postdoctoral Researcher in deep learning modeling of metabolism

cancer-stroma interactions in pancreatic cancer. The long-term goal of our lab is to enable computer-aided design of precision cancer medicine. The lab is situated at the Science for Life Laboratory