Joint Research Sample Clauses

Joint Research. The parties will cooperate in performance of the Research pursuant to the following terms and conditions: 2.1 Hadasit shall be responsible to procure the performance of the Research in accordance with the Research Program, insofar as it relates to tasks listed in the Research Program under the responsibility of the Principal Investigator (the "PI Tasks"), as follows: 2.1.1 The PI Tasks will be performed in accordance with the Research Program at and with the facilities and materials of HUH. 2.1.1 The PI Tasks will be performed by the Principal Investigator, who may be assisted by skilled staff of HUH under the direct supervision of the Principal Investigator. 2.1.3 The PI Tasks will be performed during the Research Period. 2.1.4 Subject to Section 8.7 below, Hadasit will bear the expenses incurred by it, HUH and the Principal Investigator in the performance of the PI Tasks and any other obligations of Hadasit related to the Research or set forth herein. 2.2 Rosetta shall be responsible to procure the performance of the Research in accordance with the Research Program, insofar as it relates to tasks listed in the Research Program under the responsibility of Rosetta (the "Rosetta Tasks"), as follows: 2.2.1 The Rosetta Tasks will be performed by Rosetta in accordance with the Research Program at and with the facilities and materials of Rosetta. 2.2.2 The Rosetta Tasks will be performed by skilled personal of Rosetta. 2.2.3 The Rosetta Tasks will be performed during the Research Period. 2.2.4 Rosetta will bear the expenses incurred by it in the performance of the Rosetta Tasks and any other obligations of Rosetta related to the Research or set forth herein. 2.3 Each of the parties hereby undertakes to take all reasonable measures in order to ensure that it shall not utilize, in the course of performing its respective tasks under the Research Program, any intellectual property, technology or know-how infringing any third party intellectual property rights. 2.4 During the performance of the Research, the research teams of Rosetta and the Principal Investigator will periodically meet or otherwise be in contact in order to update each other on the progress of the Research, provide information and material regarding interim Results, and in order to coordinate further Research activities. Each party shall prepare and maintain detailed records of , and regularly and reasonably promptly disclose in writing to the other Parties in reasonable detail, any and all inventi...

Joint Research. In order to ▇▇▇▇▇▇ international cooperation and collaboration, the Parties aim to increase participation in mutually beneficial joint-research projects. Where the opportunities arise, the Parties will encourage joint submissions for funding from national and international agencies to support collaborative projects. Detailed arrangements for each project will be specified in separate agreements between the collaborating groups.

Joint Research a. The Parties shall support the joint research by their experts and scholars in the field of non-traditional security issues, and share results of research between them; and b. The Parties shall organize experts in relevant fields to provide short-term technical services and to make tours.

Joint Research. 7.1 SVI, UCSF and Researchers contemplate that performance of activities arising from this Agreement may include joint or collaborative research and activities between the Parties and/or affiliates or successors in interest thereof. Hence, this Agreement may be asserted as a joint research agreement for the performance of experimental, developmental or research work in the field of Interventional Magnetic Resonance (IMR) deemed to have been owned by the same person or subject to an obligation of assignment to the same person under 35 USC § 103(c) as provided for in the Cooperative Research and Technology Enhancement Act of 2004.

Joint Research. The parties shall, within six (6) months after the Effective Date, agree on a joint program to define and test the applicability of each other's intellectual property in the fields of high content drug screening and flow cytometry. Each party shall appoint a Program Manager for this effort. The Program managers shall be responsible for defining the scope of the joint program, the parties' activities under such program and the specific resources of each party that will be engaged.

Joint Research. Agreement under the ▇▇▇▇▇-▇▇▇▇▇ America Invents Act. Notwithstanding anything to the contrary in this ARTICLE 9, neither Party will have the right to make an election under 35 U.S.C. § 102(c) of the ▇▇▇▇▇-▇▇▇▇▇ America Invents Act when exercising its rights under this ARTICLE 9 without the prior written consent of the other Party, which consent will not be unreasonably withheld. With respect to any such permitted election, each Party will use reasonable efforts to cooperate and coordinate their activities with the other Party with respect to any submissions, filings or other activities in support thereof. The Parties acknowledge and agree that this Agreement is a “joint research agreement” as defined in 35 U.S.C. § 100(h).

Joint Research. The scientific challenges within the cluster include: (Adaptivity in system modelling – how is adaptivity modelled • Efficient adaptation – how can adaptation mechanisms be made resource efficient • Frameworks for adaptivity – unified frameworks for adaptivity (negotiation, contracts, QoS) • Predictable and dependable adaptivity – what types of formal guarantees concerning predictability and dependability can be stated for an adaptive system • Robustness and adaptivity – the relationships between robust design techniques and adaptive design techniques • Adaptivity from an application’s point of view – how should the adaptation mechanisms be exposed to the application developers (APIs etc) Both software and hardware related adaptivity issues will be considered within the cluster, although the majority of the teams are working on the software issues. The main focus will be run-time adaptivity, rather than off-line adaptivity.

Joint Research. TCU and UNTHSC will enter into joint research agreements when appropriate to promote common research and to solicit and obtain externally funded research grants and contracts. The joint research agreements will address the ownership rights of any joint and/or individual intellectual property created as a result of the medical research programs, technology transfer and commercialization obligations of the respective Institutions and allocation of revenue.

Joint Research. The main scientific challenges addressed in this activity are focused on how to map complex applications onto multi-core hardware platforms. This includes addressing allocation and scheduling issues like: scalability, flexibility, composability, predictability, design-time reduction and increased dynamism. The problem is complex and multi-faceted. On one hand, we have static (design/compile time) approaches, where applications are analyzed and optimal mapping decisions are taken before the platform is deployed in the field. On the other hand, we have dynamic, runt-time approaches where mapping decisions are taken online, and they are triggered by environmental and workload variations. While these approaches start from different premises, they should not be regarded as alternative, rather they are synergistic. Design time analysis and decisions can help in providing a good starting point for run-time adaptation, moreover off-line pre-computation can reduce the overhead of the online policies making them more reactive and less resource-hungry. One important requisite for any mapping strategy is to ensure predictability AND efficiency. Note that online adaptation is not adverse to predictability: if online adaptation is based on feedback control (e.g. finite horizon), it can be used to “stabilize” the system, and make it more robust (predictable) in response to environmental variations (e.g. temperature). Another scientific challenge addressed in this activity is the development innovative reliable multicore programming models and architecture platform able to address computation and control oriented applications. One key building block is the development of efficient synchronization & communication abstractions that are required for successfully deploying MPSoCs in embedded application domains. Efficiency is inherently related to both power and performance, hence it is an energy metric. In embedded systems, productivity-enhancing abstractions are acceptable only if they do not compromise efficiency, so the focus is on how to enable fast development (debugging, tuning) without losing efficiency. It is also extremely important to take into account variability of both hardware fabrics and application workloads, which is deemed to rapidly increase. Hence, the concurrency management layer should provide means for dynamically managing workload variations, as well as hardware unpredictability sources. In the first 18 month of the project, the partners will focus on...