Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
Europe | about 2 months ago
, PortugalSupervisors: Dr. J. Pedro (INF), Prof. L. Cancela (Iscte)Apply here: https://match.iscte-iul.pt/phd-candidates-profiles/apply-to-dc-positions/Job information:Coordinator: Iscte – Instituto Universitário de
-
Profile Recognised Researcher (R2) Positions PhD Positions Country Romania Application Deadline 23 Sep 2025 - 16:00 (Europe/Bucharest) Type of Contract Temporary Job Status Part-time Hours Per Week 10 Offer
-
also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
-
project results and partnering in spin-off initiatives. • Travel opportunities to visit international partners and attend conferences. What you should have: • A good first degree and PhD in Physics
-
an international and interdisciplinary environment. Your personal sphere of influence: We're excited to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research
-
an international and interdisciplinary environment. Your personal sphere of influence: We're excited to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research
-
activities (if applicable), Bachelor and Master degree certificates, your certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference
-
certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference, to be sent directly to olga.mula.hernandez@univie.ac.at referencing the job
-
to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial
-
to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial