Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ; City St George’s, University of London
- ;
- University of Nottingham
- Radix Trading LLC
- University of Cambridge
- ; Swansea University
- ; The University of Manchester
- ; University of Strathclyde
- ; University of Warwick
- Ariel University
- DAAD
- Institute of Science and Technology Austria (ISTA)
- Leibniz
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Solid State Research •
- McGill University
- Technische Universität Berlin •
- Umeå University
- Universiteit van Amsterdam
- University of Eastern Finland
- University of Geneva
- University of Sheffield
- WIAS Berlin
- 13 more »
- « less
-
Field
-
Physics or Mathematics Application Materials Required: Further Info: https://www.unige.ch/math/la-section/enseignants-et-chercheurs/alba-grassi 24 rue du Général-Dufour 1211 Genève 4
-
to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
-
Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
-
to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
-
The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
-
the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
-
to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
-
an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
-
. The position is within the Math+ project "Information Flow & Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and
-
, e.g. math/physics or math/biology; You have a good command of spoken and written English, especially writing formal mathematical proofs; You are productive working both independently and with a team