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Leuven, Belgique KU Leuven Temps pleinA PhD in bioinformatics, computational biology, or a related field.Extensive experience in bioinformatics analysis, including statistical and computational approaches.Programming skills in R, Python, Matlab, or similar languages.A strong interest in immunology and experience with large-scale data analysis.Experience with machine learning approaches is an...
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Three Academic Positions in Finance
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Academic Position in Operations Management
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Bioinformatician Collaborator
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il y a 1 mois
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Postdoc in Microbial Metabolomics and Microbiology
il y a 4 semaines
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Postdoc in Carbon Fixation Mediated By Marine
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PhD researcher European Politics
il y a 3 semaines
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PhD Position in Programming Languages
Il y a 2 mois
Developer productivity and software performance are two key properties of software development that are hard to achieve simultaneously. The former requires rich layers of abstraction and highly reusable, context independent code. In contrast, the latter aims at code without generic overhead or indirections that is highly specialized. General-purpose optimized compilation can automatically improve the performance of high-level programs, but is still far from optimal. Much more promising are code generation techniques that can be employed in "active libraries" to offer high-level programming interfaces, and exploit knowledge of the problem domain and of the code structure to generated highly tuned code. Standard code-generation techniques (e.g., templates in C++) can be quite error-prone and hard to debug. Multi-stage programming promises to considerably lower the threshold by providing strong static guarantees with respect to well-scopedness and well-typedness at the level of the generators. This project aims to advance the state-of-the-art of multi-stage programming. In particular, we aim to develop the interaction between staging and computational effects. While most existing effort has targeted effect-free code, side-effects are essential for functionality and/or performance in most applications. We take a foundational approach, developing a formal calculus for multi-staging with support for algebraic effects and handlers, complemented by practical case studies.
You will join the team of prof. Tom Schrijvers, which has a proven track record in programming language research, covering a range of different topics together with many international partners: functional programming, Haskell, domain-specific languages, type systems, programming language meta-theory, computational effects (monads, algebraic effects), equational reasoning and program calculation, etc. The team of prof. Schrijvers is part of the Declarative Languages and Artificial Intelligence section of the KU Leuven Department of Computer Science.We offer:
A PhD scholarship with a competitive monthly stipend. The contract is renewable yearly for up to 4 years.An exciting interdisciplinary research environment at KU Leuven, Europe s most innovative university;The possibility to attend international summer schools, participate in international conferences and collaborate with our international partners.