55 programming-language-"FEMTO-ST"-"FEMTO-ST" positions at University of Lund in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programming languages. Experience presenting research at international conferences and seminars. Terms of employment This position is limited to 6 months and full-time with start date 2026-01-01 but no later
-
knowledge of English, spoken and written. Other qualifications For the doctoral programme in question, the following are considered as other qualifications: Completed courses and/or master thesis work within
-
includes activities in the international Master’s programme in Public Health, where the successful candidate is expected to contribute through teaching, supervision and course development. The successful
-
applications Fluency or advanced level of English language in speech and writing Meritorious are: Experience of mathematical methods for inverse problems Software development, e.g. Matlab or Python Good ability
-
writing, such as publications, theses, essays or similar in English is essential. We are looking for an independent and creative person who thrives in a dynamic research environment. We place high demands
-
, the following are also required: Very good oral and written proficiency in English. Good theoretical and experimental knowledge in physics and engineering science. Good knowledge of MATLAB or similar programming
-
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
-
Master's Programme in Food Systems Analysis EIT | LTH, Faculty of Engineering We offer Lund University is a state authority, which means that you receive special benefits, generous vacation and a favorable
-
, Natural Sciences, or equivalent qualifications and experience Proven software development skills in high-level programming languages such as Python, C++, or Julia Demonstrated experience in the development
-
, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python