Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
-
collaboration, career development events, networking initiatives, industry placements, and research stays. Your tasks Candidates are expected to conduct independent and collaborative research, contribute
-
of health IT solutions. Collaborate with cross-functional teams, including clinicians, analysts, clinical operations, and quality and safety leaders to address complex healthcare informatics challenges
-
tendon models ("tendon-on-chip"), this will provide a powerful system to investigate the complex mechanobiology of tendons. Particular focus will be given to neurotendinous crosstalk and its
-
. OPAL-RT, Typhoon), including closed-loop interaction with real hardware and field devices. Skilled in configuring and operating IoT networks with edge controllers, PLCs, PMUs, smart meters, etc
-
new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
-
of Gram-negative bacteria. The studied targets represent both soluble proteins and membrane bound complexes. These proteins are vital for the survival of the bacteria and interesting targets for novel
-
experiments using molecular biology techniques, including cloning and CRISPR/Cas9-based genome editing. Analyze and interpret complex datasets, including bulk and spatial metabolomics and other high-throughput
-
the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Ability
-
PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models