Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
practical experience in AI interpretation of medical data and the use of large language models. Additional programming skills are advantageous, as well as a genuine interest in and previous experience with
-
scientists of very diverse backgrounds in a highly interdisciplinary and international environment. Working language is English. Your profile To be eligible for employment as a postdoctor a doctoral degree or
-
working language is English. In the lab, we advocate for diversity, equity and inclusion; promote open science and data sharing; encourage lab members to attend conferences; and foster healthy feedback
-
and single-cell RNA-seq), to deconstruct the molecular mechanisms and behavioral “language” associated with stress exposure and treatment response. https://ki.se/en/neuro/lopez-laboratory-neurobiology
-
unanticipated and complex problems. Excellent oral and written communication skills in English are required, along with experience with scientific writing. The professional communication language for
-
. Acquaintance to the Swedish language will be advantageous, but specifically fluency in oral and written English is a prerequisite for an application. The successful candidate is a team player, a good
-
management and analysis using e.g. STATA, SAS or R, and experience with prediction modeling is meritorious. Written and spoken fluency in English is essential, and working knowledge of Swedish language is a
-
important merit. The working language is English. Since the positon involves integration of skills from several teams and core facilities at the KI and collaborating with a team at the University of Helsinki
-
to have very good collaboration, communication and flexibility skills. As a person, you must also be structured, orderly, meticulous and ambitious. The working language will mainly be Swedish and some
-
the following skills are encouraged to apply: excellent quantitative and applied research skills in data analysis, demonstrated proficiency in statistical language (e.g., R, Matlab), good bioinformatics knowledge