76 data-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" positions at Utrecht University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, you will engage with students and staff to collect rich data, perform qualitative analyses, co-author open-access papers, and co-create a dilemma game – a reflective tool for teachers, support staff
-
-throughput phenotyping. You will develop novel methodologies, execute experiments, analyse data, and present your project results in the form of manuscripts and oral presentations. In addition to your research
-
sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
-
, and the bioinformatic analysis of generated sequencing data. You are encouraged to bring your own expertise to the current project and contribute your own project ideas. While working on this project
-
development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
-
, collaborating with biologists at Utrecht Science Park and beyond? Join us as Lecturer Bioinformatics! Your job Life is the most complex system known to humankind. Bioinformatics driven data analyses are a unique
-
Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
-
to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our
-
specialisations; Excellent research skills and ethical research practices, including the ability to gather, analyse, and interpret qualitative data; Experience in conducting and analysing structured and semi
-
of teaching in Public Economics, Applied Data Science, Econometrics or statistical methods in economics; teaching experience in an international academic environment with the proven ability to inspire students