16 parallel-and-distributed-computing-phd uni jobs at University of Copenhagen in Denmark
Sort by
Refine Your Search
-
calibrate measurement systems, ensuring consistent and reliable operation. Qualifications Master's degree or PhD in physics, engineering, quantum information science, nanoscience, or related. Experience with
-
clonal evolution Proficient communication skills and ability to work in teams Excellent English skills written and spoken Desirable experience and skills: You have a PhD in computational biology
-
models for robust reconstruction of past ecosystems. You have a PhD in bioinformatics, statistics, community ecology, biology computational ecology or similar. Strong communication skills and ability
-
hours and salary: Working hours are 7½ hours per week distributed on two workdays. The working hours are flexible and adaptable to the student’s study activities and activities at the Centre. Your salary
-
comprises a committed team of researchers and clinicians, including one National specialist, one affiliated professor DipECVN, active PhD fellows, and senior neurology clinicians. The group supports residency
-
have to: Participate in formal pedagogical training program for assistant professors. Participate in annual evaluations and a mid-track appraisal. After no more than six years of employment and on
-
, and stability of spiral waves, as well as how these structures in turn influence neural computation in the brain. The position is open from October 1 or as soon as possible thereafter. The position is
-
, Denmark [map ] Subject Areas: Astrophysics / Theoretical Astrophysics Cosmology/Particle Astrophysics Condensed Matter Physics / Computational Physics , Condensed Matter Theory Planetary Sciences
-
be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and future research plans
-
the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and