Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
: Warsaw, Poland Salary: 20 750 - 24 250 PLN/month gross (approx. PLN 16,300-18,500 net per month); employment contract: 1 FTE; full social security and health insurance Number of positions available: 1 Work
-
, and a faculty committed to helping every student go further than they thought possible. Accredited by the Southern Association of Colleges and Schools Commission on Colleges and holding specialized
-
School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to work
-
University), James Choi (Yale University), and John Beshears (Harvard Business School) are hiring a full‐time predoctoral fellow to start work in mid-June 2027. This position will last until mid-July 2028
-
reduce computational and storage costs, but their impact on security remains poorly understood: algebraic structure, unexploitable classically, could become an effective vector for quantum attacks
-
: 09 Month Work Period Time Type: Full time Application Instructions: To apply for this position, please click “Apply” and complete the Employment Application on the ISU application website. (https
-
to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic randomness, ergodic theory, quantum entropy, operator algebras and
-
place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement
-
details https://titulus-unimore.cineca.it/albo/ Work Location(s) Number of offers available1Company/InstituteUNIMORECountryItaly Contact City Modena Website https://www.unimore.it/it STATUS: EXPIRED X
-
, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous