Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and seeking
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics is looking for a PhD student in computational physics with a focus on understanding
-
) and apply online. Please ensure that you upload your Curriculum Vitae (CV, including a publication list) and a covering letter in the Upload section of the online application. If you upload any
-
papers at internal academic meetings and external professional conferences and to contribute to the internal and external visibility of the Institute The above list of responsibilities may not be
-
obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
-
Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Economics (more...) Management Science & Engineering Computer Science and
-
Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Physics Industrial Engineering Statistics Mathematics Economics (more...) Management Science & Engineering Computer Science and
-
Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Physics Industrial Engineering Statistics Mathematics Economics (more...) Management Science & Engineering Computer Science and
-
, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Economics (more...) Management Science & Engineering Computer Science and Electrical
-
process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data