Phd hcm cam javascript jquery állások, munkák Németországban

Own end‑to‑end go‑to‑market strategy across the product lifecycle, translating product vision into differentiated messaging, positioning, and value propositions that build product brand equity and drive launch and sustainment success....

• 70% hands-on video editing across diverse content types and creative briefs
• 20% technical documentation and structured data organization
• 10% collaboration with Product Management on quality standards and editorial approach

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

Developing the EMEA strategy for the OEM and licensing business, with a focus on protein technology, assays, and reagents....

• Developing aviation strategy for airlines, airports or MRO; sharpening future business models and identifying decisive capabilities to succeed in competition
• Designing end-to-end aviation processes with high understanding of commercial and operational coherences

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

Conduct consulting projects focusing on strategic challenges of OEMs and suppliers in the global markets for aircraft, passenger and cargo drones...

BUILD SOFTWARE THAT MATTERS You'll develop industrial software that powers daily operations at Aurubis, our parent company. Your work will have real impact beyond a backlog item. Working fullstack with Kotlin/Spring Boot and TypeScript/React, you'll build features end-to-end while keeping systems...

• Preparation of analytical evaluation protocols
• Data evaluation (internal / external performance data) by using statistical tools
• Preparation of performance study reports
• Support the post-marked performance follow-up process
• Support the creation of templates for Clinical Evidence requirements

• 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.

Shape Cytiva's scientific and technology vision for genomic medicine, guiding innovation strategy and next‑generation product roadmaps across viral vector and CGT technologies....

• Coordinate and conduct Next Generation Sequencing (NGS) library preparation trainings of the Archer product lines at customer sites.
• Provide remote customer educations on library preparation and data analysis topics via video calls.

• 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

Develop and apply THz absorption spectroscopy and cavity-enhanced spectroscopy setups to measure atomic (O, Al) and molecular species (NO) and apply the existing E-FISH setup to measure electric fields in atmospheric pressure plasmas related to plasma catalysis...

• In this project, Molecular Beam Epitaxy (MBE) is our primary tool. You won't just be an observer; you will be an architect of matter. Your responsibilities will include:
• Designing and growing high-quality semiconductor heterostructures.

Contribute to the design, development, and continuous refinement of the ECLI curriculum for Senior Leaders, working closely with the Academic Director, faculty, and broader ECLI Executive Education team....

Inspire customers to favour Adobe's Content Experience portfolio (Adobe, Experience Manager and Adobe's digital media technology) solutions by developing and delivering product presentations and demonstrations...

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• 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