12 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DIFFER" positions in Netherlands
Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
-
computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
-
come up with jointly optimized schemes for such hybrid links and networks, incl. waveforms, modulation, coding and/or low-level protocols. You will further design and propose link architectures and
-
, work with the newly collected GGS data, and help promote the data. You will: assist with fieldwork preparations (e.g., coding and testing the survey questionnaire, helping monitor the fieldwork); process
-
will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and
-
integrates seamlessly with other data and compute infrastructure (such as HuggingFace, DataVerse); Contribute to the OpenML codebase and platform by making code more maintainable and reviewing community
-
to a portfolio, project page, thesis, code repository, publications, or other examples of relevant work, if available; the names and email addresses of two professional or academic references. Due
-
of enterprise integration (APls, middleware, SAP Pl/PO and BTP) Familiarity with low-code/no-code solutions, for example Power Apps and SAP BTP Familiarity with Microsoft applications, such as SharePoint and .Net
-
. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks
-
resources, public services, and guarantees of rights — and where they turn to repression instead. GRID combines a new cross-national dataset coding governments’ de jure and de facto responses since 1989