90 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "U.S" positions at University of Lund
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The project has an action-oriented and interdisciplinary approach and is being carried
-
models and computational statistics. We are looking for a promising early-career researcher who can advance research in statistics with a focus on data science and teach the next generation of students. As
-
Geography and Ecosystem Science or comparable programme Additional requirements: Very good oral and written proficiency in English. Good knowledge of a higher programming language Assessment criteria
-
University School of Economics and Management (LUSEM)": https://lusem.prodwebb8.lu.se/sites/lusem.lu.se/files/2024-02/general-requirements-profile-and-assessment-for-employment-as-senior-lecturer-at-lusem.pdf
-
, particular emphasis will be placed on the applicant’s ability to successfully complete the doctoral programme and to contribute to the project’s focus and objectives. Assessment will take into account the
-
. Additional requirements In order to complete the doctoral programme in question, the following are also required: good ability to work independently and to formulate and tackle research problems. good written
-
Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
-
Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
-
position. Your main work tasks will be Plan and execute industrial beamtime at the CoSAXS beamline, supporting users throughout the entire process — from experimental setup and data collection to analysis
-
harness data collected during the entire lifecycle. In large-scale cloud-edge services, DevOps include many tools working together (e.g., build servers, code review, program analysis) to feed back