Tidligere kurs - Side 9

This course identifies the ¡°kappe¡± as a distinct element of the full body of work in an article-based PhD dissertation and offers conceptual and practical perspectives on how to position the ¡°kappe¡± and how to write it.

Get an introduction to this user-friendly web-based application for digital text analysis ¡ª text mining ¡ª performing automated computational text analysis on documents in a range of formats and languages, and creating rich data visualizations to communicate the data. 

Learn how to mark up, tag, and annotate your research material with Zotero, gathering your research material and research notes in one place. 

A one day hands-on workshop to learn the principles of databases and SQL.

Are you writing something? Of course you are! Join Writer's Hours, a low threshold, socially guaranteed artificial environment for concerted writing during HF PhD Week and get some work done!

Learn how to collect, organize, and share your bibliographies, cite as you write, and generate reference lists in different formats.

Transkribus is a comprehensive platform for the digitisation, AI-powered text recognition, transcription, and searching of historical documents. In this workshop you will get a demonstration of Transkribus and learn how you can use this tool in your research.

Is it difficult to set aside time to write? The Academic Writing Centre organsises structured writing sessions for PhDs and Postdocs.

Er det vanskelig ? finne tid til ? skrive? Akademisk skrivesenter arrangerer felles, strukturert skrivetid for stipendiater og postdoktorer etter modellen "Shut up & write".

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.

I dette halvdagskurset i forskningsdatah?ndtering modul 2, vil deltakerne f? kjennskap til potensialet ved deling av forskningsdata i tr?d med FAIR prinsippene om gjenfinnbare, tilgjengelige, interoperable og gjenbrukbare data.

This workshop is for those who want to learn more about coding, classifying, querying, and visualizing material in a range of formats in NVivo.

Denne workshoppen er for deg som ?nsker ? l?re mer om ? kode, klassifisere, gj?re sp?rringer og visualisere materiale i en rekke formater i NVivo.

I dette halvdagskurset i forskningsdatah?ndtering (modul 1), vil deltakerne f? kjennskap til data organisering, lagring, dokumentasjon og skriving av datah?ndteringsplaner.

Is it difficult to set aside time to write? The Academic Writing Centre organsises structured writing sessions for PhDs and Postdocs.

Er det vanskelig ? finne tid til ? skrive? Akademisk skrivesenter arrangerer felles, strukturert skrivetid for stipendiater og postdoktorer etter modellen "Shut up & write".

Learn to use Zotero for research annotation, note management, and how to use the Zotero Integration for Obsidian.

NVivo is a complex software for qualitative research that can be used to code text, sound, image, and video.

NVivo er en kompleks programvare for kvalitativ forskning som blant annet kan brukes til ? kode tekst, lyd, bilde og video. 

Is it difficult to set aside time to write? The Academic Writing Centre organsises structured writing sessions for PhDs and Postdocs.

Er det vanskelig ? finne tid til ? skrive? Akademisk skrivesenter arrangerer felles, strukturert skrivetid for stipendiater og postdoktorer etter modellen "Shut up & write".

?Find, appraise and use research literature? is a full day seminar designed as a supplement to the MF9010E ¨C Introductory course to the medical PhD programme, INTRO I.

In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.  

In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.