11 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Swedish University of Agricultural Sciences
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, participate in international conferences, and communicate with collaborators in academia and industry. Opportunities for research visits abroad may be available. The research combines computational modelling
-
suitable for examination. The Ph.D. program consists of 4-year full-time studies with the position contracted based on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be
-
and study programmes, you must have a second-cycle (Master’s) qualification. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second
-
master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
-
combines computational research with experimental validation for understanding and predicting the ecology and importance of microorganism in soil. The group constitutes a strong research environment and
-
sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
-
The assessment of pedagogic skills will consider the ability to: plan, conduct and evaluate their own teaching at basic and advanced levels, including doctoral level supervise and examine undergraduate, master
-
, but perferably early 2026 Application: Click the “Apply” button to submit your application. The deadline is 2025-10-12. To qualify for third-cycle (Doctoral) courses and study programmes, you must have
-
/engineering, veterinary medicine, and often in cooperation with subject areas: architecture, work science, economics, mathematics, computer science, statistics, etc. For more information about the department
-
, or other collaborative funding programmes. Knowledge of EU research policy. Experience working with research funding agencies or as an expert evaluator for proposals/projects Knowledge of the Swedish