Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position
-
by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in engineering (space engineering in particular) and/or a PA discipline
-
for this position, the following is required: PhD in planetary science, Earth science or a closely related discipline. Additional requirements In addition to your CV and your motivation letter, please prepare a
-
for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
-
management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
-
analogue processing? We have a vacancy for a postdoc position at the Laboratory of Food Process Engineering ! Will you join our team? What are you going to do? As postdoctoral researcher, you will be working
-
our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our
-
, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
-
truly an international place of knowledge. Within the Faculty of Science and Engineering (FSE), the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three
-
Pathways to Sustainability. Sharing science, shaping tomorrow external link . The Faculty of Humanities external link has around 7,000 students and 1,100 staff members. It comprises four knowledge domains