39 computational-physics "https:" "https:" "https:" PhD scholarships at Forschungszentrum Jülich
Sort by
Refine Your Search
-
geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., Phyton, Fortran) Advanced
-
of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
-
. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Solid knowledge in mathematics (linear algebra
-
geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
-
» Biology Physics » Biophysics Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 May 2026 - 23:59 (Europe/Berlin) Country Germany Type
-
Computer Science, Mathematics, Physics or a related field Knowledge in Neuromorphic Computing or Computational Neuroscience is a plus Experience in mathematical modelling Excellent programming skills and experience
-
Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
coding in C++, supported by specialised training (e.g. C++ courses). Your Profile Master's degree in Mathematics, Computer Science, Physics or a related discipline Object-oriented programming skills
-
processes and infrastructures Development of control concepts for highly dynamic and load-flexible plants Coupling of technical, economic and ecological perspectives for optimised process design Experimental