Development állások Németországban (kutató)

• design and conduction of experimental studies
• application/development of neurobiological, molecular, electrophysiological or imaging methods
• analysis and statistically evaluation of experimental data
• documentation, interpretation and presentation of research findings

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

· RESEARCH AND DEVELOPMENT: o Design novel orchestration architectures and algorithms for dynamic service placement, migration, and scaling across the cloud-edge continuum. o Devise and evaluate learning-based methods and control-theoretic approaches to balance latency, reliability, energy...

· RESEARCH AND DEVELOPMENT: o Design and evaluate distributed learning algorithms that operate across heterogeneous nodes, exploring model splitting, collaborative inference, and adaptive training strategies. o Investigate privacy-preserving and energy-efficient learning mechanisms and study the...

• Support the strategic planning and development of future European and international research initiatives and funding proposals
• Monitor project milestones, risks, and dependencies

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

You will work in an interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation sequencing, epigenomic, and proteomic data, and (ii) perform germline...

• Development and implementation of numerical models for simulating microbial transport in porous media
• Modelling hydrogen conversion by subsurface microorganisms using suitable bio-chemical reaction kinetics models

• Develop and apply frequency comb spectroscopy setups and utilize the existing CARS and QCLAS setups
• Apply the laser diagnostics to measure molecular species in atmospheric pressure plasmas related to plasma catalysis, such as COx, NOx, H2O2.

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• Contributing to the development of prototype versions within the framework of the PINEm technology transfer project at KIT
• Participating in meetings with the project and development partners Bilfinger and the University of Leeds, as well as maintaining regular communication with project partners

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• Compile and document the corpus of architectural case studies (including fieldwork in Europe, India, and Pakistan)
• Conduct in-depth analysis of the corpus
• Write a doctoral dissertation (to be published as a monograph)
• Participate in the GSMR curriculum
• Contribute to CRC working groups and workshops

Develop and use innovative optimisation methods and modelling workflows for energy transition pathways under conflicting interests...

- OWL compliant ontology modeling of linguistic and conceptual metaphors in exchange with domain experts - Modeling a semantic thesaurus reflecting requirements and theoretical considerations of the involved subjects and domains ...

• Apply the frequency comb spectroscopy diagnostics to measure molecular species in low pressure plasmas related to industrial processes
• Develop and apply machine learning algorithms for data analysis and data-driven physics-constrained correlation mining

As postdoctoral researcher in Area I, you will contribute to a research project that focuses on the role of the solvent in charge or electron transfer processes. RESOLV aims to unravel the solvent impact on non-equilibrium charge and electron transfer processes at electrified interfaces, molecular...

Techniques that will be relevant are in-vivo multi-channel electrophysiological recordings, behavioral experiments and state-of-the-art neural data analysis. ...

As postdoctoral researcher in Area II, you will contribute to RESOLV's aim to develop overarching guidelines for solvent selection and design to maximize yield and selectivity while minimizing the environmental footprint of chemical processes. Therefore, RESOLV integrates lab automation and...