Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
-
Chair of Biological Imaging 13.08.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for a PhD student (f/m/d) who wants to take ownership of the software
-
» Cultural anthropology Sociology » Social shaping of technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 Sep 2026 - 23:59 (Europe/Berlin) Country Germany
-
. · PhD in Bioinformatics, Structural Biology, Biophysics, Biochemistry, or related fields · Experience in computational protein design and/or engineering · Solid knowledge of scientific software
-
on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
-
activity of individual neurons and mesoscopic population signals. His team develops open software for analysis and data management that forms the technical basis of the proposed project. The PhD candidate
-
international research network in which scientists from both Munich universities, the Helmholtz Zentrum München, and the Max Planck Institute of Biochemistry collaborate across disciplines. Funded by the DFG
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Researcher (R3) Application Deadline 16 Aug 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework
-
networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale infrastructure
-
studies have demonstrated the limitations of current ground- and satellite-based observational networks. The PhD project aims for a new method to derive ground-level concentrations from satellite-based