Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
-
. The successful candidate will also take part in regular group meetings and collaborate closely with internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in
-
networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
to work independently and to supervise undergraduates and PhD students. Excellent written and spoken English. Benefits: international working environment with communication in English and German interesting
-
at the PhD graduate level. Application Please see below for guidance and formalities regarding the application procedure. Per default, the application system requires upload of Cover letter – please state your
-
approaches are particularly encouraged to apply. Qualifications - Relevant university education and PhD degree - Relevant background – this could be microbiology, molecular biology, cell biology, imaging
-
anticipate receiving a PhD in plant molecular biology or related disciplines. Applicants should have: Ability to plan and conduct research project independently Strong background in plant molecular biology and
-
and exciting research opportunities for scientific inquiry. Overall, the distinct areas of investigation for the Grant and the Sengupta labs allows the ideal candidate to acquire and develop different
-
) including three references List of publications Copy of PhD diploma Motivation letter including your qualification plan for the postdoctoral period Copy of your passport Requirements/eligibility: You have a
-
, social-emotional and behavioral. The successful applicant will be affiliated with the Institute for Teaching and Learning situated within the Department of Education and Social Work (DESW). The