43 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Lund
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
project, or an MSc in engineering physics or an associated field, or a Master’s degree in physics or an associated field. Additional requirements In order to complete the doctoral programme in question
-
participate in public dissemination of project findings in the media, at stakeholder meetings etc. An interest in teaching, for example as part of the department’s bachelor program in criminology or it’s master
-
Science divisions to plan, install, and commission cutting-edge infrastructure and equipment. The project will be led by the TomoWISE Beamline Lead Scientist, and the team will be part of the Beamline
-
new frontiers in programmable protein–semiconductor materials, combining computational modeling, high-throughput experimentation, and advanced characterization techniques. The position offers
-
of the Ambient Pressure X-ray Photoelectron Spectroscopy Program at MAX IV. The beamlines provide a wide range of sample environments for in situ and operando XPS and XAS across 4 instruments and numerous sample
-
. The department has a comprehensive doctoral programme and coordinates three international Master’s programmes. It enjoys a well-established reputation for its broad research profile, with an emphasis on long-term
-
stellar spectroscopic analysis at both low and high resolution in the near-IR, specifically using the SME (Spectroscopy Made Easy) program. Experience participating in large international astronomical
-
physiology of thermal adaption. Work duties The position is linked to the research program "HotLife – Pathways to Survival in a Warmer World," funded by the European Research Council (ERC). The overarching
-
independence, and how the applicant, through their experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. Terms of employment Only those admitted
-
Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data