Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Biology
- Chemistry
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Materials Science
- Science
- Psychology
- Arts and Literature
- Linguistics
- Environment
- Earth Sciences
- Electrical Engineering
- Law
- Social Sciences
- Business
- Humanities
- Education
- Physics
- Sports and Recreation
- 12 more »
- « less
-
postdoc in the lab. You have: A Master’s in Life Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory
-
Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
-
science and microscopy. The preferred starting date is 1 November. A stimulating research environment at Campus Groenenborger, equipped with state-of-the-art instrumentation and computing facilities
-
in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
-
fund research in resources technology and/or critical minerals and to deepen connections with industry. The areas of focus for the Resources Technology and Critical Minerals Trailblazer Program include
-
Published Monday 14 Jul 2025 Deadline Thursday 31 Jul 2025 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 2.901 - € 3..707 Employment 1 fte - 1 fte Introduction
-
Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
-
, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
-
modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
-
novo mutations Type of genetic variation that can be buffered Molecular mechanisms underlying mutational robustness Skills Essential The candidate holds a Master degree in bioengineering science, (bio