Sort by
Refine Your Search
-
Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
-
university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
-
Deadline 18 May 2024 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
-
the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
-
and traveling to national and international conferences (Co)-supervising PhD students Your Profile: University degree (Master) and doctorate in bioinformatics, computer science, data science, biophysics
-
batteries and also includes a research visit to France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with
-
-holders and the research community at meetings, conferences and by publishing in high-impact journals Your Profile: Master`s degree and PhD in quantum physics, computer science, electrical engineering
-
Deadline 23 Mar 2024 - 23:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
-
Deadline 6 Apr 2024 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
-
Science, or Theoretical/Computational Chemistry and a subsequent PhD Degree Profound programming skills in python and its ML and NN modules Extensive background in ML, NN and related deep learning methods