Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is a full-time position and you will be offered a fixed term contract until the 1st September 2027
-
, Finland [map ] Subject Area: Statistics Starting Date: 2025/10/01 Salary Range: 3800-4050 euros/month Appl Deadline: 2025/08/10 11:59PM (posted 2025/07/10, listed until 2025/08/10) Position Description
-
combination of classical signal processing methods with state-of-the-art machine learning techniques, and you will thus find yourself in the intersection between emerging research domains and innovations, where
-
Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
-
Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
-
. The hiring process will include an interview with the most qualified candidates. We offer Salary NOK 551 000-594 000 per year for PhD fellows, for postdoctoral fellows NOK 595 000-668 000, depending
-
at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have
-
. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
-
of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will
-
required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process