Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
to timetables and service locations while considering requirements of various personnel and special requests during operations based on specific train unit conditions. This requires multiple-criteria decision
-
Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 2 months ago
has an open call for multiple fully funded PhD student positions. Deadline for submission of your application is December 10th 2025! Five Max Planck Institutes (Dresden, Hamburg, Halle and Stuttgart
-
integrate data from multiple sources—including tipping bucket rain gauges, weather radar, and satellites—using robust coding and data science techniques. A comprehensive quality control framework will be
-
the systems-ML stack. This makes a cohort-based programme vital, treating ML Systems as a holistic discipline. Cohort interaction, and integration, give students real experience across multiple systems
-
equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
-
in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
-
Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
-
Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
-
multiple disciplines. Our courses are taught by distinguished and dedicated faculty members. Our excellent libraries will support you with your research. Discover GESS: All doctoral programmes in English
-
geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation